SlideShare a Scribd company logo
1 of 19
Download to read offline
5/23/2018
Copyright © 2018 Neo4j, Inc. 1
What’s New In Neo4j 3.4 &
Bloom Update
Jeff Morris
Philip Rathle
May 23, 2018
1
Neo4j - The Graph Company
720+
7/10
12/25
8/10
53K+
100+
270+
450+
Adoption
Top Retail Firms
Top Financial Firms
Top Software Vendors
Customers Partners
• Creator of the Neo4j Graph Platform
• ~200 employees
• HQ in Silicon Valley, other offices include
London, Munich, Paris and Malmö
(Sweden)
• $80M in funding from Fidelity, Sunstone,
Conor, Creandum, and Greenbridge
Capital
• Over 10M+ downloads
• 270+ enterprise subscription customers
with over half with >$1B in revenue
Ecosystem
Startups in program
Enterprise customers
Partners
Meet up members
Events per year
Industry’s Largest Dedicated Investment in Graphs
5/23/2018
Copyright © 2018 Neo4j, Inc. 2
Neo4j is an enterprise-grade native graph platform that enables you to:
• Store, reveal and query data relationships
• Traverse and analyze any levels of depth in real-time
• Add context and connect new data on the fly
3
Who We Are: The Graph Platform
• Performance
• ACID Transactions
• Schema-free Agility
• Graph Algorithms
Designed, built and tested natively
for graphs from the start for:
• Developer Productivity
• Hardware Efficiency
• Global Scale
• Graph Adoption
Graph
Transactions
Graph
Analytics
Data Integration
Development
& Admin
Analytics
Tooling
Drivers & APIs Discovery & Visualization
2010 2011 2012 2013 2015 2017
Frustrated with
Gremlin, Neo
invented Cypher -
Leading language
for graph queries
First open
source GA
version of a
property graph
database
O’Reilly Graph
Database —
first definitive
book for graph
professionals
Introduced
labels to
simplify graph
modeling
openCypher.org
open sourced
Cypher query
language as de
facto standard
Industry’s
1st Graph
Platform
Graph Algorithms
for data scientists
Developer’s Neo4j
Desktop
2014
Visual Graph
Query Browser
2016
Causal
Consistency
for Graphs
Neo4j—The Graph Innovator
2018 2019
Morpheus
Graph is a
unique
paradigm
Neo4j Cloud
Neo4j Cloud EAP
Neo4j Bloom visual discovery
Cypher for Apache Spark
Cypher for Gremlin
GQL Manifesto
5/23/2018
Copyright © 2018 Neo4j, Inc. 3
Graph
Transactions
Graph
Analytics
Data Integration
Development
& Admin
Analytics
Tooling
Drivers & APIs Discovery & Visualization
Developers
Admins
Applications Business Users
Data Analysts
Data Scientists
Enterprise Data Hub
Native Graph Platform: Tools for Many Users
Neo4j: Enabling the Connected Enterprise
Consumers of Connected Data
6
AI & Graph Analytics
• Sentiment analysis
• Customer
segmentation
• Machine learning
• Cognitive computing
• Community detection
Transactional Graphs
• Fraud detection
• Real-time recommendations
• Network and IT operations
management
• Knowledge Graphs
• Master Data Management
Discovery & Visualization
• Fraud detection
• Network and IT
operations
• Product information
management
• Risk and portfolio analysisData
Scientists
Data
Scientists
Business
Users
Business
Users
ApplicationsApplications
5/23/2018
Copyright © 2018 Neo4j, Inc. 4
• Introduced Today: https://gql.today/
• An initiative to immediately
rally support for a unified
Graph Query Language
• Standards meetings are ongoing
• All community members are
encouraged to Vote their support
at https://gql.today/#vote
7
The GQL Manifesto: https://gql.today/
Neo4j Product Update
Latest Innovations
5/23/2018
Copyright © 2018 Neo4j, Inc. 5
3.3
Review of
Latest GA
Release
(Oct ‘17)
`
RRRR
RRRR RRRR
RRRRRRRRRRRR
READ REPLICAS
London
`
C C
RR RR RR
RRRRRR
READ REPLICAS
New York
Multi-Data Center Clustering with Secure Transit
5/23/2018
Copyright © 2018 Neo4j, Inc. 6
Neo4j Desktop 1.0
• Mission control for developers
• Connect to both local and remote
Neo4j servers
• Free with registration
• Includes development license for Neo4j Enterprise Edition
• Keeps you up to date with latest versions, plugins, etc.
• https://neo4j.com/download
Finds the optimal path
or evaluates route
availability and quality
• Single Source Short Path
• All-Nodes SSP
• Parallel paths
Evaluates how a
group is clustered
or partitioned
• Label Propagation
• Union Find
• Strongly Connected
Components
• Louvain
• Triangle-Count
Determines the
importance of distinct
nodes in the network
• PageRank
• Betweeness
• Closeness
• Degree
Data Science Algorithms
5/23/2018
Copyright © 2018 Neo4j, Inc. 7
Development &
Administration
Analytics
Tooling
Graph
Analytics
Graph
Transactions
Data Integration
Discovery & VisualizationDrivers & APIs
AI
Neo4j Database 3.3
• 50% faster writes
• Real-time transactions
and traversal applications
Review: The Neo4j Graph Platform, Fall 2017
Neo4j Desktop, the developers’
mission control console
• Free, registered local license
of Enterprise Edition
• APOC library installer
• Algorithm library installer
Data Integration
• Neo4j ETL reveals RDBMS
hidden relationships upon
importing to graph
• Data Importer for fast data
ingestion
Graph Analytics
• Graph Algorithms support
Community Detection,
Centrality and Path Finding
• Cypher for Apache Spark
from openCypher.org
supports graph composition
(sub-graphs) and algorithm
chaining
Discovery & Visualization
• Integration with popular
visualization vendors
• Neo4j Browser and custom
visualizations allow graph
exploration
Bolt with GraphQL and more
• Secure, Causal Clustering
• High-speed analytic processing
• On-prem, Docker & cloud delivery
What’s Next?
3.4
5/23/2018
Copyright © 2018 Neo4j, Inc. 8
Graphs Extended to Include Geospatial Search
+
x
y
Geospatial Graph Queries
z
5/23/2018
Copyright © 2018 Neo4j, Inc. 9
x
y
z
“Recommend a shirt available in a store
close by in the men’s department”
Location Building
Floor
Rack
5/23/2018
Copyright © 2018 Neo4j, Inc. 10
Scalability
Multi-Clustering Support for Global Internet Apps
Horizontally partition graph by domain (country, product, customer, data center)
20
Multi-tenancy
Geo Partitioning
Write Scaling
sa cluster
uk cluster
us_east cluster
hk cluster
5/23/2018
Copyright © 2018 Neo4j, Inc. 11
Performance
Neo4j 3.3 Neo4j 3.4 RC1
70% Faster
250
500
0
750
1000
Neo4j 3.2
Reads – Neo4j Enterprise Cypher Runtime
10% Faster
Mixed Workload Read Benchmark
5/23/2018
Copyright © 2018 Neo4j, Inc. 12
Supercharging Graph Writes
One Component:
80% of transactional write overhead (!!!)
?QM ,.
Index Insertion
 ACID
 Optimized for
graph
 Fast Reads
 ~10x Faster Writes
Neo4j GB+ Tree
Index
Label Groupings (Neo4j 3.2)
Numerics (Neo4j 3.3)
Strings (Neo4j 3.4)
QM ,.
External Index
Provider
Native Neo4j Index
Supercharging Graph Writes
5/23/2018
Copyright © 2018 Neo4j, Inc. 13
Writes with Native String Indexes
500%
improvement
Neo4j 3.4 RC1 Performance
Performance Tuning Summary 3.3 & 3.4
26
5/23/2018
Copyright © 2018 Neo4j, Inc. 14
Ops & Admin
LDAP & Active
Directory
User &
Roles
Procedure
Access Controls
Security: Property Blacklisting added
Kerberos SSO
Certs
Intra-Cluster
Encryption
Security
Event Logging
TLS Wire
Encryption
SSN: “043-56-8834”
0000“043-56-8834”
Property
Blacklisting
5/23/2018
Copyright © 2018 Neo4j, Inc. 15
Rolling Upgrades
29
3.4 3.4 3.44.0 4.0 4.0
Auto Cache Reheating
Upgrade to new versions
with zero downtime
Store upgrades
may require downtime but
can be done subsequently
For Restarts, Restores, and Cluster Expansion
30
3.4 Features By Edition Community Edition Enterprise Edition
Date / Time data types ■ ■
3D Geospatial data types ■ ■
Performance Improvements
Native String Indexes – up to 5x faster writes ■ ■
2x faster backups ■
Improved Cypher runtime Fast Faster
100B+ object bulk importer ■ Resumable
Enterprise Scaling & Administration
Multi-Clustering (partitioning of clusters) ■
Automatic cache warming ■
Rolling upgrades ■
Resumable copy/restore cluster member ■
New diagnostic metrics and support tools ■
Security: Property blacklisting by user/role ■
5/23/2018
Copyright © 2018 Neo4j, Inc. 16
Development &
Administration
Analytics
Tooling
Graph
Analytics
Graph
Transactions
Data Integration
Discovery & VisualizationDrivers & APIs
AI
Neo4j Database 3.4
• 70% faster Cypher
• Native String Indexes
(up to 5x faster writes)
• 100B+ bulk importer
The Neo4j Graph Platform, Summer 2018
Improved Admin Experience
• Rolling upgrades
• 2X faster backups
• Cache Warming on startup
• Improved diagnostics
Morpheus for Apache Spark
• Graph analytics in the data lake
• In-memory Spark graphs from
Apache Hadoop, Hive,
Gremlin and Spark
• Save graphs into Neo4j
• High-speed data exchange
between Neo4j & data lake
• Progressive analysis using
named graphs
Graph Data Science
• High speed graph
algorithms
Neo4j Bloom
• New graph illustration and
communication tool for
non-technical users
• Explore and edit graph
• Search-based
• Create storyboards
• Foundation for graph data
discovery
• Integrated with graph platform
Multi-Cluster routing built into Bolt drivers
• Date/Time data type
• 3-D Geospatial search
• Secure, Horizontal Multi-Clustering
• Property Blacklisting Security
Introducing A Brand New
Graph Exploration Product
5/23/2018
Copyright © 2018 Neo4j, Inc. 17
Neo4j Bloom
Neo4j Bloom
34
• High fidelity
• Scene navigation
• Property views
• Search suggestions
• Saved phrase history
• Property editor
• Schema perspectives
• Bloom chart type
• Visualize
• Communicate
• Discover
• Navigate
• Isolate
• Edit
• Share
5/23/2018
Copyright © 2018 Neo4j, Inc. 18
35
Neo4j Bloom Features
• Prompted Search
• Property Browser &
editor
• Category icons and
color scheme
• Pan, Zoom & Select
Advancing the Platform
36
Native graph architecture extends
scale, use cases and performance
• Neo4j Database 3.4
Shipping May, 2018
New products for new users
• Neo4j Bloom visualization &
storyboard tool for business
Shipping in June, 2018
5/23/2018
Copyright © 2018 Neo4j, Inc. 19
Neo4j Update
Jeff Morris
Philip Rathle
May 23, 2018
37

More Related Content

What's hot

Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...
Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...
Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...Denodo
 
Best Practices in the Cloud for Data Management (US)
Best Practices in the Cloud for Data Management (US)Best Practices in the Cloud for Data Management (US)
Best Practices in the Cloud for Data Management (US)Denodo
 
Denodo DataFest 2016: Enterprise View of Data with Semantic Data Layer
Denodo DataFest 2016: Enterprise View of Data with Semantic Data LayerDenodo DataFest 2016: Enterprise View of Data with Semantic Data Layer
Denodo DataFest 2016: Enterprise View of Data with Semantic Data LayerDenodo
 
Denodo Platform 7.0: What's New?
Denodo Platform 7.0: What's New?Denodo Platform 7.0: What's New?
Denodo Platform 7.0: What's New?Denodo
 
Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationMaximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationDenodo
 
Logical Data Fabric: An Introduction
Logical Data Fabric: An IntroductionLogical Data Fabric: An Introduction
Logical Data Fabric: An IntroductionDenodo
 
Take your Data Management Practice to the Next Level with Denodo 7
Take your Data Management Practice to the Next Level with Denodo 7Take your Data Management Practice to the Next Level with Denodo 7
Take your Data Management Practice to the Next Level with Denodo 7Denodo
 
Managing Biomedical Data and Metadata in Large Scale Collaborations
Managing Biomedical Data and Metadata in Large Scale CollaborationsManaging Biomedical Data and Metadata in Large Scale Collaborations
Managing Biomedical Data and Metadata in Large Scale CollaborationsGeorges Heiter
 
Denodo DataFest 2017: Conquering the Edge with Data Virtualization
Denodo DataFest 2017: Conquering the Edge with Data VirtualizationDenodo DataFest 2017: Conquering the Edge with Data Virtualization
Denodo DataFest 2017: Conquering the Edge with Data VirtualizationDenodo
 
Minimizing the Complexities of Machine Learning with Data Virtualization
Minimizing the Complexities of Machine Learning with Data VirtualizationMinimizing the Complexities of Machine Learning with Data Virtualization
Minimizing the Complexities of Machine Learning with Data VirtualizationDenodo
 
GraphTour - Neo4j Platform Overview
GraphTour - Neo4j Platform OverviewGraphTour - Neo4j Platform Overview
GraphTour - Neo4j Platform OverviewNeo4j
 
Best Practices: Data Virtualization Perspectives and Best Practices
Best Practices: Data Virtualization Perspectives and Best PracticesBest Practices: Data Virtualization Perspectives and Best Practices
Best Practices: Data Virtualization Perspectives and Best PracticesDenodo
 
Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)
Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)
Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)Denodo
 
Denodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo DataFest 2016: The Role of Data Virtualization in IoT IntegrationDenodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo DataFest 2016: The Role of Data Virtualization in IoT IntegrationDenodo
 
There's Gold in Them Thar Data
There's Gold in Them Thar DataThere's Gold in Them Thar Data
There's Gold in Them Thar Datadclsocialmedia
 
Virtual Sandbox for Data Scientists at Enterprise Scale
Virtual Sandbox for Data Scientists at Enterprise ScaleVirtual Sandbox for Data Scientists at Enterprise Scale
Virtual Sandbox for Data Scientists at Enterprise ScaleDenodo
 
Multi-Cloud Data Integration with Data Virtualization (APAC)
Multi-Cloud Data Integration with Data Virtualization (APAC)Multi-Cloud Data Integration with Data Virtualization (APAC)
Multi-Cloud Data Integration with Data Virtualization (APAC)Denodo
 
Delivering Quality Open Data by Chelsea Ursaner
Delivering Quality Open Data by Chelsea UrsanerDelivering Quality Open Data by Chelsea Ursaner
Delivering Quality Open Data by Chelsea UrsanerData Con LA
 
MarkLogic Semantic use cases
MarkLogic Semantic use cases MarkLogic Semantic use cases
MarkLogic Semantic use cases Fernando Mesa
 
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
 

What's hot (20)

Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...
Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...
Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...
 
Best Practices in the Cloud for Data Management (US)
Best Practices in the Cloud for Data Management (US)Best Practices in the Cloud for Data Management (US)
Best Practices in the Cloud for Data Management (US)
 
Denodo DataFest 2016: Enterprise View of Data with Semantic Data Layer
Denodo DataFest 2016: Enterprise View of Data with Semantic Data LayerDenodo DataFest 2016: Enterprise View of Data with Semantic Data Layer
Denodo DataFest 2016: Enterprise View of Data with Semantic Data Layer
 
Denodo Platform 7.0: What's New?
Denodo Platform 7.0: What's New?Denodo Platform 7.0: What's New?
Denodo Platform 7.0: What's New?
 
Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationMaximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
Maximizing Data Lake ROI with Data Virtualization: A Technical Demonstration
 
Logical Data Fabric: An Introduction
Logical Data Fabric: An IntroductionLogical Data Fabric: An Introduction
Logical Data Fabric: An Introduction
 
Take your Data Management Practice to the Next Level with Denodo 7
Take your Data Management Practice to the Next Level with Denodo 7Take your Data Management Practice to the Next Level with Denodo 7
Take your Data Management Practice to the Next Level with Denodo 7
 
Managing Biomedical Data and Metadata in Large Scale Collaborations
Managing Biomedical Data and Metadata in Large Scale CollaborationsManaging Biomedical Data and Metadata in Large Scale Collaborations
Managing Biomedical Data and Metadata in Large Scale Collaborations
 
Denodo DataFest 2017: Conquering the Edge with Data Virtualization
Denodo DataFest 2017: Conquering the Edge with Data VirtualizationDenodo DataFest 2017: Conquering the Edge with Data Virtualization
Denodo DataFest 2017: Conquering the Edge with Data Virtualization
 
Minimizing the Complexities of Machine Learning with Data Virtualization
Minimizing the Complexities of Machine Learning with Data VirtualizationMinimizing the Complexities of Machine Learning with Data Virtualization
Minimizing the Complexities of Machine Learning with Data Virtualization
 
GraphTour - Neo4j Platform Overview
GraphTour - Neo4j Platform OverviewGraphTour - Neo4j Platform Overview
GraphTour - Neo4j Platform Overview
 
Best Practices: Data Virtualization Perspectives and Best Practices
Best Practices: Data Virtualization Perspectives and Best PracticesBest Practices: Data Virtualization Perspectives and Best Practices
Best Practices: Data Virtualization Perspectives and Best Practices
 
Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)
Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)
Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)
 
Denodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo DataFest 2016: The Role of Data Virtualization in IoT IntegrationDenodo DataFest 2016: The Role of Data Virtualization in IoT Integration
Denodo DataFest 2016: The Role of Data Virtualization in IoT Integration
 
There's Gold in Them Thar Data
There's Gold in Them Thar DataThere's Gold in Them Thar Data
There's Gold in Them Thar Data
 
Virtual Sandbox for Data Scientists at Enterprise Scale
Virtual Sandbox for Data Scientists at Enterprise ScaleVirtual Sandbox for Data Scientists at Enterprise Scale
Virtual Sandbox for Data Scientists at Enterprise Scale
 
Multi-Cloud Data Integration with Data Virtualization (APAC)
Multi-Cloud Data Integration with Data Virtualization (APAC)Multi-Cloud Data Integration with Data Virtualization (APAC)
Multi-Cloud Data Integration with Data Virtualization (APAC)
 
Delivering Quality Open Data by Chelsea Ursaner
Delivering Quality Open Data by Chelsea UrsanerDelivering Quality Open Data by Chelsea Ursaner
Delivering Quality Open Data by Chelsea Ursaner
 
MarkLogic Semantic use cases
MarkLogic Semantic use cases MarkLogic Semantic use cases
MarkLogic Semantic use cases
 
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...
 

Similar to What's New In Neo4j 3.4 & Bloom Update

A Connections-first Approach to Supply Chain Optimization
A Connections-first Approach to Supply Chain OptimizationA Connections-first Approach to Supply Chain Optimization
A Connections-first Approach to Supply Chain OptimizationNeo4j
 
Neo4j GraphDay Seattle- Sept19- Connected data imperative
Neo4j GraphDay Seattle- Sept19- Connected data imperativeNeo4j GraphDay Seattle- Sept19- Connected data imperative
Neo4j GraphDay Seattle- Sept19- Connected data imperativeNeo4j
 
GraphTalk Copenhagen - Introduction to Graphs and Neo4j
GraphTalk Copenhagen - Introduction to Graphs and Neo4jGraphTalk Copenhagen - Introduction to Graphs and Neo4j
GraphTalk Copenhagen - Introduction to Graphs and Neo4jNeo4j
 
Neo4j GraphTalks Oslo - Introduction to Graphs
Neo4j GraphTalks Oslo - Introduction to GraphsNeo4j GraphTalks Oslo - Introduction to Graphs
Neo4j GraphTalks Oslo - Introduction to GraphsNeo4j
 
Introduction to Neo4j
Introduction to Neo4jIntroduction to Neo4j
Introduction to Neo4jNeo4j
 
GraphTour - Neo4j Database Overview
GraphTour - Neo4j Database OverviewGraphTour - Neo4j Database Overview
GraphTour - Neo4j Database OverviewNeo4j
 
Neo4j GraphTalk Oslo - Building Intelligent Solutions with Graphs
Neo4j GraphTalk Oslo - Building Intelligent Solutions with GraphsNeo4j GraphTalk Oslo - Building Intelligent Solutions with Graphs
Neo4j GraphTalk Oslo - Building Intelligent Solutions with GraphsNeo4j
 
Webinar: Neo4j Licensing: Which Edition Is Right For You?
Webinar:  Neo4j Licensing: Which Edition Is Right For You?Webinar:  Neo4j Licensing: Which Edition Is Right For You?
Webinar: Neo4j Licensing: Which Edition Is Right For You?Neo4j
 
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4jNeo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4jNeo4j
 
Neo4j Database and Graph Platform Overview
Neo4j Database and Graph Platform OverviewNeo4j Database and Graph Platform Overview
Neo4j Database and Graph Platform OverviewNeo4j
 
Neo4j GraphTalk Frankfurt - Identity und Access Management
Neo4j GraphTalk Frankfurt - Identity und Access ManagementNeo4j GraphTalk Frankfurt - Identity und Access Management
Neo4j GraphTalk Frankfurt - Identity und Access ManagementNeo4j
 
Zero to Snowflake Presentation
Zero to Snowflake Presentation Zero to Snowflake Presentation
Zero to Snowflake Presentation Brett VanderPlaats
 
GraphTalk Helsinki - Introduction to Graphs and Neo4j
GraphTalk Helsinki - Introduction to Graphs and Neo4jGraphTalk Helsinki - Introduction to Graphs and Neo4j
GraphTalk Helsinki - Introduction to Graphs and Neo4jNeo4j
 
Introducing Neo4j
Introducing Neo4jIntroducing Neo4j
Introducing Neo4jNeo4j
 
Graph Computing with JanusGraph
Graph Computing with JanusGraphGraph Computing with JanusGraph
Graph Computing with JanusGraphJason Plurad
 
Neo4j GraphDay Seattle- Sept19- in the enterprise
Neo4j GraphDay Seattle- Sept19-  in the enterpriseNeo4j GraphDay Seattle- Sept19-  in the enterprise
Neo4j GraphDay Seattle- Sept19- in the enterpriseNeo4j
 
Neo4j GraphTalk Düsseldorf - Building intelligent solutions with Graphs
Neo4j GraphTalk Düsseldorf - Building intelligent solutions with GraphsNeo4j GraphTalk Düsseldorf - Building intelligent solutions with Graphs
Neo4j GraphTalk Düsseldorf - Building intelligent solutions with GraphsNeo4j
 
PayPal Notebooks at Jupytercon 2018
PayPal Notebooks at Jupytercon 2018PayPal Notebooks at Jupytercon 2018
PayPal Notebooks at Jupytercon 2018Romit Mehta
 
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?SnapLogic
 
Peek into Neo4j Product Strategy and Roadmap
Peek into Neo4j Product Strategy and RoadmapPeek into Neo4j Product Strategy and Roadmap
Peek into Neo4j Product Strategy and RoadmapNeo4j
 

Similar to What's New In Neo4j 3.4 & Bloom Update (20)

A Connections-first Approach to Supply Chain Optimization
A Connections-first Approach to Supply Chain OptimizationA Connections-first Approach to Supply Chain Optimization
A Connections-first Approach to Supply Chain Optimization
 
Neo4j GraphDay Seattle- Sept19- Connected data imperative
Neo4j GraphDay Seattle- Sept19- Connected data imperativeNeo4j GraphDay Seattle- Sept19- Connected data imperative
Neo4j GraphDay Seattle- Sept19- Connected data imperative
 
GraphTalk Copenhagen - Introduction to Graphs and Neo4j
GraphTalk Copenhagen - Introduction to Graphs and Neo4jGraphTalk Copenhagen - Introduction to Graphs and Neo4j
GraphTalk Copenhagen - Introduction to Graphs and Neo4j
 
Neo4j GraphTalks Oslo - Introduction to Graphs
Neo4j GraphTalks Oslo - Introduction to GraphsNeo4j GraphTalks Oslo - Introduction to Graphs
Neo4j GraphTalks Oslo - Introduction to Graphs
 
Introduction to Neo4j
Introduction to Neo4jIntroduction to Neo4j
Introduction to Neo4j
 
GraphTour - Neo4j Database Overview
GraphTour - Neo4j Database OverviewGraphTour - Neo4j Database Overview
GraphTour - Neo4j Database Overview
 
Neo4j GraphTalk Oslo - Building Intelligent Solutions with Graphs
Neo4j GraphTalk Oslo - Building Intelligent Solutions with GraphsNeo4j GraphTalk Oslo - Building Intelligent Solutions with Graphs
Neo4j GraphTalk Oslo - Building Intelligent Solutions with Graphs
 
Webinar: Neo4j Licensing: Which Edition Is Right For You?
Webinar:  Neo4j Licensing: Which Edition Is Right For You?Webinar:  Neo4j Licensing: Which Edition Is Right For You?
Webinar: Neo4j Licensing: Which Edition Is Right For You?
 
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4jNeo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
 
Neo4j Database and Graph Platform Overview
Neo4j Database and Graph Platform OverviewNeo4j Database and Graph Platform Overview
Neo4j Database and Graph Platform Overview
 
Neo4j GraphTalk Frankfurt - Identity und Access Management
Neo4j GraphTalk Frankfurt - Identity und Access ManagementNeo4j GraphTalk Frankfurt - Identity und Access Management
Neo4j GraphTalk Frankfurt - Identity und Access Management
 
Zero to Snowflake Presentation
Zero to Snowflake Presentation Zero to Snowflake Presentation
Zero to Snowflake Presentation
 
GraphTalk Helsinki - Introduction to Graphs and Neo4j
GraphTalk Helsinki - Introduction to Graphs and Neo4jGraphTalk Helsinki - Introduction to Graphs and Neo4j
GraphTalk Helsinki - Introduction to Graphs and Neo4j
 
Introducing Neo4j
Introducing Neo4jIntroducing Neo4j
Introducing Neo4j
 
Graph Computing with JanusGraph
Graph Computing with JanusGraphGraph Computing with JanusGraph
Graph Computing with JanusGraph
 
Neo4j GraphDay Seattle- Sept19- in the enterprise
Neo4j GraphDay Seattle- Sept19-  in the enterpriseNeo4j GraphDay Seattle- Sept19-  in the enterprise
Neo4j GraphDay Seattle- Sept19- in the enterprise
 
Neo4j GraphTalk Düsseldorf - Building intelligent solutions with Graphs
Neo4j GraphTalk Düsseldorf - Building intelligent solutions with GraphsNeo4j GraphTalk Düsseldorf - Building intelligent solutions with Graphs
Neo4j GraphTalk Düsseldorf - Building intelligent solutions with Graphs
 
PayPal Notebooks at Jupytercon 2018
PayPal Notebooks at Jupytercon 2018PayPal Notebooks at Jupytercon 2018
PayPal Notebooks at Jupytercon 2018
 
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?
 
Peek into Neo4j Product Strategy and Roadmap
Peek into Neo4j Product Strategy and RoadmapPeek into Neo4j Product Strategy and Roadmap
Peek into Neo4j Product Strategy and Roadmap
 

More from Neo4j

SIEMENS: RAPUNZEL – A Tale About Knowledge Graph.pdf
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph.pdfSIEMENS: RAPUNZEL – A Tale About Knowledge Graph.pdf
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph.pdfNeo4j
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...Neo4j
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosNeo4j
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Neo4j
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jNeo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Neo4j
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeNeo4j
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsNeo4j
 
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j
 
Neo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j
 
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...Neo4j
 
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AIDeloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AINeo4j
 
Ingka Digital: Linked Metadata by Design
Ingka Digital: Linked Metadata by DesignIngka Digital: Linked Metadata by Design
Ingka Digital: Linked Metadata by DesignNeo4j
 
Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24
Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24
Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24Neo4j
 

More from Neo4j (20)

SIEMENS: RAPUNZEL – A Tale About Knowledge Graph.pdf
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph.pdfSIEMENS: RAPUNZEL – A Tale About Knowledge Graph.pdf
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph.pdf
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG time
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge Graphs
 
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
 
Neo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with Graph
 
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
SWIFT: Maintaining Critical Standards in the Financial Services Industry with...
 
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AIDeloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
Deloitte & Red Cross: Talk to your data with Knowledge-enriched Generative AI
 
Ingka Digital: Linked Metadata by Design
Ingka Digital: Linked Metadata by DesignIngka Digital: Linked Metadata by Design
Ingka Digital: Linked Metadata by Design
 
Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24
Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24
Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24
 

Recently uploaded

Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanMYRABACSAFRA2
 
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhThiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhYasamin16
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfBoston Institute of Analytics
 
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degreeyuu sss
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Cantervoginip
 
LLMs, LMMs, their Improvement Suggestions and the Path towards AGI
LLMs, LMMs, their Improvement Suggestions and the Path towards AGILLMs, LMMs, their Improvement Suggestions and the Path towards AGI
LLMs, LMMs, their Improvement Suggestions and the Path towards AGIThomas Poetter
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...GQ Research
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfJohn Sterrett
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一F sss
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesTimothy Spann
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI  Streaming - AI Max PrincetonReal-Time AI  Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max PrincetonTimothy Spann
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Seán Kennedy
 
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...Thomas Poetter
 
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理e4aez8ss
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024Timothy Spann
 

Recently uploaded (20)

Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population Mean
 
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhThiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
 
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Canter
 
LLMs, LMMs, their Improvement Suggestions and the Path towards AGI
LLMs, LMMs, their Improvement Suggestions and the Path towards AGILLMs, LMMs, their Improvement Suggestions and the Path towards AGI
LLMs, LMMs, their Improvement Suggestions and the Path towards AGI
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdf
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI  Streaming - AI Max PrincetonReal-Time AI  Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max Princeton
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...
 
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
Minimizing AI Hallucinations/Confabulations and the Path towards AGI with Exa...
 
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
 

What's New In Neo4j 3.4 & Bloom Update

  • 1. 5/23/2018 Copyright © 2018 Neo4j, Inc. 1 What’s New In Neo4j 3.4 & Bloom Update Jeff Morris Philip Rathle May 23, 2018 1 Neo4j - The Graph Company 720+ 7/10 12/25 8/10 53K+ 100+ 270+ 450+ Adoption Top Retail Firms Top Financial Firms Top Software Vendors Customers Partners • Creator of the Neo4j Graph Platform • ~200 employees • HQ in Silicon Valley, other offices include London, Munich, Paris and Malmö (Sweden) • $80M in funding from Fidelity, Sunstone, Conor, Creandum, and Greenbridge Capital • Over 10M+ downloads • 270+ enterprise subscription customers with over half with >$1B in revenue Ecosystem Startups in program Enterprise customers Partners Meet up members Events per year Industry’s Largest Dedicated Investment in Graphs
  • 2. 5/23/2018 Copyright © 2018 Neo4j, Inc. 2 Neo4j is an enterprise-grade native graph platform that enables you to: • Store, reveal and query data relationships • Traverse and analyze any levels of depth in real-time • Add context and connect new data on the fly 3 Who We Are: The Graph Platform • Performance • ACID Transactions • Schema-free Agility • Graph Algorithms Designed, built and tested natively for graphs from the start for: • Developer Productivity • Hardware Efficiency • Global Scale • Graph Adoption Graph Transactions Graph Analytics Data Integration Development & Admin Analytics Tooling Drivers & APIs Discovery & Visualization 2010 2011 2012 2013 2015 2017 Frustrated with Gremlin, Neo invented Cypher - Leading language for graph queries First open source GA version of a property graph database O’Reilly Graph Database — first definitive book for graph professionals Introduced labels to simplify graph modeling openCypher.org open sourced Cypher query language as de facto standard Industry’s 1st Graph Platform Graph Algorithms for data scientists Developer’s Neo4j Desktop 2014 Visual Graph Query Browser 2016 Causal Consistency for Graphs Neo4j—The Graph Innovator 2018 2019 Morpheus Graph is a unique paradigm Neo4j Cloud Neo4j Cloud EAP Neo4j Bloom visual discovery Cypher for Apache Spark Cypher for Gremlin GQL Manifesto
  • 3. 5/23/2018 Copyright © 2018 Neo4j, Inc. 3 Graph Transactions Graph Analytics Data Integration Development & Admin Analytics Tooling Drivers & APIs Discovery & Visualization Developers Admins Applications Business Users Data Analysts Data Scientists Enterprise Data Hub Native Graph Platform: Tools for Many Users Neo4j: Enabling the Connected Enterprise Consumers of Connected Data 6 AI & Graph Analytics • Sentiment analysis • Customer segmentation • Machine learning • Cognitive computing • Community detection Transactional Graphs • Fraud detection • Real-time recommendations • Network and IT operations management • Knowledge Graphs • Master Data Management Discovery & Visualization • Fraud detection • Network and IT operations • Product information management • Risk and portfolio analysisData Scientists Data Scientists Business Users Business Users ApplicationsApplications
  • 4. 5/23/2018 Copyright © 2018 Neo4j, Inc. 4 • Introduced Today: https://gql.today/ • An initiative to immediately rally support for a unified Graph Query Language • Standards meetings are ongoing • All community members are encouraged to Vote their support at https://gql.today/#vote 7 The GQL Manifesto: https://gql.today/ Neo4j Product Update Latest Innovations
  • 5. 5/23/2018 Copyright © 2018 Neo4j, Inc. 5 3.3 Review of Latest GA Release (Oct ‘17) ` RRRR RRRR RRRR RRRRRRRRRRRR READ REPLICAS London ` C C RR RR RR RRRRRR READ REPLICAS New York Multi-Data Center Clustering with Secure Transit
  • 6. 5/23/2018 Copyright © 2018 Neo4j, Inc. 6 Neo4j Desktop 1.0 • Mission control for developers • Connect to both local and remote Neo4j servers • Free with registration • Includes development license for Neo4j Enterprise Edition • Keeps you up to date with latest versions, plugins, etc. • https://neo4j.com/download Finds the optimal path or evaluates route availability and quality • Single Source Short Path • All-Nodes SSP • Parallel paths Evaluates how a group is clustered or partitioned • Label Propagation • Union Find • Strongly Connected Components • Louvain • Triangle-Count Determines the importance of distinct nodes in the network • PageRank • Betweeness • Closeness • Degree Data Science Algorithms
  • 7. 5/23/2018 Copyright © 2018 Neo4j, Inc. 7 Development & Administration Analytics Tooling Graph Analytics Graph Transactions Data Integration Discovery & VisualizationDrivers & APIs AI Neo4j Database 3.3 • 50% faster writes • Real-time transactions and traversal applications Review: The Neo4j Graph Platform, Fall 2017 Neo4j Desktop, the developers’ mission control console • Free, registered local license of Enterprise Edition • APOC library installer • Algorithm library installer Data Integration • Neo4j ETL reveals RDBMS hidden relationships upon importing to graph • Data Importer for fast data ingestion Graph Analytics • Graph Algorithms support Community Detection, Centrality and Path Finding • Cypher for Apache Spark from openCypher.org supports graph composition (sub-graphs) and algorithm chaining Discovery & Visualization • Integration with popular visualization vendors • Neo4j Browser and custom visualizations allow graph exploration Bolt with GraphQL and more • Secure, Causal Clustering • High-speed analytic processing • On-prem, Docker & cloud delivery What’s Next? 3.4
  • 8. 5/23/2018 Copyright © 2018 Neo4j, Inc. 8 Graphs Extended to Include Geospatial Search + x y Geospatial Graph Queries z
  • 9. 5/23/2018 Copyright © 2018 Neo4j, Inc. 9 x y z “Recommend a shirt available in a store close by in the men’s department” Location Building Floor Rack
  • 10. 5/23/2018 Copyright © 2018 Neo4j, Inc. 10 Scalability Multi-Clustering Support for Global Internet Apps Horizontally partition graph by domain (country, product, customer, data center) 20 Multi-tenancy Geo Partitioning Write Scaling sa cluster uk cluster us_east cluster hk cluster
  • 11. 5/23/2018 Copyright © 2018 Neo4j, Inc. 11 Performance Neo4j 3.3 Neo4j 3.4 RC1 70% Faster 250 500 0 750 1000 Neo4j 3.2 Reads – Neo4j Enterprise Cypher Runtime 10% Faster Mixed Workload Read Benchmark
  • 12. 5/23/2018 Copyright © 2018 Neo4j, Inc. 12 Supercharging Graph Writes One Component: 80% of transactional write overhead (!!!) ?QM ,. Index Insertion  ACID  Optimized for graph  Fast Reads  ~10x Faster Writes Neo4j GB+ Tree Index Label Groupings (Neo4j 3.2) Numerics (Neo4j 3.3) Strings (Neo4j 3.4) QM ,. External Index Provider Native Neo4j Index Supercharging Graph Writes
  • 13. 5/23/2018 Copyright © 2018 Neo4j, Inc. 13 Writes with Native String Indexes 500% improvement Neo4j 3.4 RC1 Performance Performance Tuning Summary 3.3 & 3.4 26
  • 14. 5/23/2018 Copyright © 2018 Neo4j, Inc. 14 Ops & Admin LDAP & Active Directory User & Roles Procedure Access Controls Security: Property Blacklisting added Kerberos SSO Certs Intra-Cluster Encryption Security Event Logging TLS Wire Encryption SSN: “043-56-8834” 0000“043-56-8834” Property Blacklisting
  • 15. 5/23/2018 Copyright © 2018 Neo4j, Inc. 15 Rolling Upgrades 29 3.4 3.4 3.44.0 4.0 4.0 Auto Cache Reheating Upgrade to new versions with zero downtime Store upgrades may require downtime but can be done subsequently For Restarts, Restores, and Cluster Expansion 30 3.4 Features By Edition Community Edition Enterprise Edition Date / Time data types ■ ■ 3D Geospatial data types ■ ■ Performance Improvements Native String Indexes – up to 5x faster writes ■ ■ 2x faster backups ■ Improved Cypher runtime Fast Faster 100B+ object bulk importer ■ Resumable Enterprise Scaling & Administration Multi-Clustering (partitioning of clusters) ■ Automatic cache warming ■ Rolling upgrades ■ Resumable copy/restore cluster member ■ New diagnostic metrics and support tools ■ Security: Property blacklisting by user/role ■
  • 16. 5/23/2018 Copyright © 2018 Neo4j, Inc. 16 Development & Administration Analytics Tooling Graph Analytics Graph Transactions Data Integration Discovery & VisualizationDrivers & APIs AI Neo4j Database 3.4 • 70% faster Cypher • Native String Indexes (up to 5x faster writes) • 100B+ bulk importer The Neo4j Graph Platform, Summer 2018 Improved Admin Experience • Rolling upgrades • 2X faster backups • Cache Warming on startup • Improved diagnostics Morpheus for Apache Spark • Graph analytics in the data lake • In-memory Spark graphs from Apache Hadoop, Hive, Gremlin and Spark • Save graphs into Neo4j • High-speed data exchange between Neo4j & data lake • Progressive analysis using named graphs Graph Data Science • High speed graph algorithms Neo4j Bloom • New graph illustration and communication tool for non-technical users • Explore and edit graph • Search-based • Create storyboards • Foundation for graph data discovery • Integrated with graph platform Multi-Cluster routing built into Bolt drivers • Date/Time data type • 3-D Geospatial search • Secure, Horizontal Multi-Clustering • Property Blacklisting Security Introducing A Brand New Graph Exploration Product
  • 17. 5/23/2018 Copyright © 2018 Neo4j, Inc. 17 Neo4j Bloom Neo4j Bloom 34 • High fidelity • Scene navigation • Property views • Search suggestions • Saved phrase history • Property editor • Schema perspectives • Bloom chart type • Visualize • Communicate • Discover • Navigate • Isolate • Edit • Share
  • 18. 5/23/2018 Copyright © 2018 Neo4j, Inc. 18 35 Neo4j Bloom Features • Prompted Search • Property Browser & editor • Category icons and color scheme • Pan, Zoom & Select Advancing the Platform 36 Native graph architecture extends scale, use cases and performance • Neo4j Database 3.4 Shipping May, 2018 New products for new users • Neo4j Bloom visualization & storyboard tool for business Shipping in June, 2018
  • 19. 5/23/2018 Copyright © 2018 Neo4j, Inc. 19 Neo4j Update Jeff Morris Philip Rathle May 23, 2018 37