Intro to Neo4j
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Neo4j is a native graph database that allows organizations to leverage connections in data to create value in real-time. Unlike traditional databases, Neo4j connects data as it stores it, enabling lightning-fast retrieval of relationships. With over 200 customers including Walmart, UBS, and adidas, Neo4j is the number one database for connected data by providing a highly scalable and flexible platform to power use cases like recommendations, fraud detection, and supply chain management through relationship queries and analytics.
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Intro to Neo4j
- 1. #1 Database for Connected Data Jonny Cheetham jonny@neo4j.com
- 2. Neo4j is the creator of a highly scalable, native graph database. Neo4j gives any organization the ability to leverage connections in data — in real-time to create value
- 3. Our core belief is
- 4. Our core belief is — connections between data are as important as the data itself
- 5. Use of data connections has created industry leaders
- 6. Today, as processes get digitized and interconnected
- 7. Today, as processes get digitized and interconnected - we see the emergence of a “connected enterprise”
- 10. PAYMEN TS SALES- CHANNEL S SUPPLY CHAIN PRODUC TS MARKETI NG CRM Store Mobile Shipping Inventory Express goods Home delivery Ratings Price-range Category Content Promotions Online advertising Loyalty Programs Returns Feedback reviews Tweets Emails Customer support Credit Card Cash Mobile Pay Purchase History BEYON D MOBILE Augmented Reality Smart products Connected homes Webstore CONNECTED ENTERPRISE
- 11. CONSUME R DATA PRODUCT DATA PAYMENT DATA SOCIAL DATA SUPPLIER DATA “The next wave of competitive advantage will be all about using connections to produce actionable insights.”
- 12. Real-Time Recommendations Dynamic Pricing Actionable insights power new use cases Artificial Intelligence & IoT-applications Fraud Detection Network ManagementCustomer Engagement Supply Chain Efficiency Identity and Access Management
- 13. Queries can take non-sequential, arbitrary paths through data Real-time queries need speed and consistent response times Queries must run reliably with consistent results Q A single query can touch a lot of data Relationship Queries Strain Traditional Databases 13
- 14. Neo4j Advantage
- 15. Neo4j - The #1 Database for Connected Data Neo4j is an enterprise-grade native graph database that enables you to: • Store and query data relationships • Traverse any levels of depth on real-time • Add and connect new data on the fly • Performance • ACID Transactions • Agility 15 Designed, built and tested natively for graphs from the start to ensure: • Developer Productivity • Hardware Efficiency
- 16. Index free adjacency: Unlike other database models Neo4j connects data as it stores it Index-free adjacency ensures lightning-fast retrieval of data and relationships Neo4j Advantage - Performance
- 17. Neo4j: Native Graph from the Start Native graph storage Optimized for real-time reads and ACID writes • Relationships stored as physical objects, eliminating need for joins and join tables • Nodes connected at write time, enabling scale- independent response times Native graph querying Memory structures and algorithms optimized for graphs • Index-free adjacency enables 1M+ hops per second via in- memory pointer chasing • Off-heap page cache improves operational robustness and scaling compared with JVM-based caches • “Minutes to milliseconds” performance improvement Neo4j Advantage - Performance Neo4j Advantage - ACID Transactions
- 18. Equivalent Cypher Query MATCH (you)-[:BOUGHT]->(something)<-[:BOUGHT]-(other)-[:BOUGHT]->(reco) WHERE id(you)={id} RETURN reco Traversal Speeds on Amazon Retail Dataset Threads Hops per second 1 3-4 million 10 17-29 million 20 34-50 million 30 36-60 million 18 Social Recommendation Example Neo4j Advantage - Performance
- 19. Neo4j Property Graph The Whiteboard Model is the Physical Model 19 A unified view for ultimate agility • Easily understood • Easily evolved • Easy collaboration between business and IT Neo4j Advantage - Agility
- 20. MATCH (boss)-[:MANAGES*0..3]->(sub), (sub)-[:MANAGES*1..3]->(report) WHERE boss.name = “John Doe” RETURN sub.name AS Subordinate, count(report) AS Total Express Complex Relationship Queries Easily with Cypher Find all direct reports and how many people they manage, up to three levels down Cypher Query SQL Query 21 Neo4j Advantage - Developer Productivity
- 21. Neo4j: Built for the Enterprise Native Graph Storage Designed, built, and tested for graphs Native Graph Query Processing For real-time, relationship-based apps Evaluate millions of relationships in a blink Whiteboard-Friendly Data Modeling Faster projects compared to RDBMS ACID Transactions and Security Fully ACID transactions, causal consistency and enterprise security Powerful, Expressive Query Language Improved productivity, with 10x to 100x less code than SQL Causal Clustering Architecture Architecture provides ideal balance of performance, availability, scale for graphs Built-in Data Import Seamless import from other databases Drivers for Popular Language and Platforms Fits easily into your IT environment, with drivers and APIs for popular languages MATCH (A) 22
- 22. Over 200 customers, including some of the world’s largest companies REAL-TIME RECOMMENDATIONS TRACKING MULTI-DIMENSIONAL SOCIAL ACTIVITY TRANSFORMING CUSTOMER SELF SERVICE REAL-TIME DELIVERY COORDINATION adidas PERSONALIZATION ENGINES
- 23. Neo4j in Action Real-time Package Routing • Large postal service with over 500k employees • Neo4j routes 7M+ packages daily at peak, with peaks of 5,000+ routing operations per second. Real-time promotion recommendations • Record “Cyber Monday” sales • About 35M daily transactions • Each transaction is 3-22 hops • Queries executed in 4ms or less • Replaced IBM Websphere commerce Real-time pricing engine • 300M pricing operations per day • 10x transaction throughput on half the hardware compared to Oracle • Presentation at http://graphconnect.com/gc2016-sf/ • Replaced Oracle database
- 24. Routing Recommendations Don’t Take Our Word For It Examples of companies that use Neo4j, the world’s leading graph database, for recommendation and personalization engines. Adidas uses Neo4j to combine content and product data into a single, searchable graph database which is used to create a personalized customer experience “We have many different silos, many different data domains, and in order to make sense out of our data, we needed to bring those together and make them useful for us,” – Sokratis Kartelias, Adidas eBay Now Tackles eCommerce Delivery Service Routing with Neo4j “We needed to rebuild when growth and new features made our slowest query longer than our fastest delivery - 15 minutes! Neo4j gave us best solution” – Volker Pacher, eBay Walmart uses Neo4j to give customer best web experience through relevant and personal recommendations “As the current market leader in graph databases, and with enterprise features for scalability and availability, Neo4j is the right choice to meet our demands”. - Marcos Vada, Walmart Product recommendations Personalization Linkedin Chitu seeks to engage Chinese jobseekers through a game-like user interface that is available on both desktop and mobile devices. “The challenge was speed,” said Dong Bin, Manager of Development at Chitu. “Due to the rate of growth we saw from our competitors in the Chinese market, we knew that we had to launch Chitu as quickly as possible.” Social Network
- 25. What the analysts say “Neo4j is the clear leader in the property graph space” Forrester Research has named Neo4j “Most Popular Graph Database” Part of Gartner’s “Operational Database” Magic Quadrant since 2014
- 26. The Neo4j ecosystem Over 200 customers 400+ yearly events and meetups 100k+ users and developers 400+ Startups
- 27. Neo4j Supported Platforms On-Premise Platforms Cloud Platforms and Containers IBM POWER For Development … and others
- 28. Neo4j: Right for the Enterprise ACID Transactions • ACID transactions with causal consistency • Neo4j Security Foundation delivers enterprise-class security and control Hardware Efficiency • Native graph query processing and storage requires 10x less hardware • Index-free adjacency requires 10x less CPU Agility • Native property graph model • Modify schema as business changes without disrupting existing data Developer Productivity • Easy to learn, declarative openCypher graph query language • Procedural language extensions • Open library of procedures and functions APOC • Neo4j support and training • Worldwide developer community … all backed by Neo’s track record of leadership and product roadmap Performance • Index-free adjacency delivers millions of hops per second • In-memory pointer chasing for fast query results
- 29. #1 Database for Connected Data Questions
- 30. #1 Database for Connected Data Thank You
- 31. Elevator Pitch Neo Technology is the creator of Neo4j, the #1 database for connected data. Neo4j gives any organization the ability to quickly and easily leverage relationships between different data - the key to being a “connected enterprise.” Unlike other database models, Neo4j connects data as it stores it. This means the intelligence created from those connections is available directly from the database – without the need for additional processing. Its emphasis on native graph storage and real-time querying is pivotal in helping all kinds (and sizes) of organizations easily leverage data connections. Neo4j streamlines and accelerates application development and helps our customers deliver powerful new insights from data connections with greater agility and at lower cost than has previously been possible. Neo4j is perfect for improving the customer experience through real-time personalized recommendations; fighting financial and other types of crime; exploiting IoT and artificial intelligence; delivering new manufacturing/supply chain efficiency; and seamlessly integrating disparate master data to create a “connected enterprise.” We have over 200 customers that include Walmart, UBS, Cisco, HP, adidas and Lufthansa, in addition to a whole range of exciting startups. With over three million downloads, 50k training attendees and over a 100 partners, we have a vast and thriving ecosystem of developers, partners and users, and we are recognized as a leading player in our market.
Editor's Notes
- “Most people may not think of Google as a connected data company. But in fact the ONE thing that separated Google from all the 50 other search engines is that they use not just data in isolation, but the connections in their data. Blablabla page rank.” … “So thinking back on the 75% of our / your industry that is going to disappear over the next decade, what can we learn from Google? Google took the data that was core to their business and connected it. So what we all can learn from Google is that”<click>
- “Imagine a world where your supply chain, your logistics, your manufacturing, your commerce, your payments, your CRM, everything is connected. Where every single piece of data can start anywhere and end anywhere, from the supplier to the product to the customer, from the customer through the payment to the product, etc. Where all of these connections are stored, managed and used by the company to run the business.” “We call this the”<click>
- “Imagine a world where your supply chain, your logistics, your manufacturing, your commerce, your payments, your CRM, everything is connected. Where every single piece of data can start anywhere and end anywhere, from the supplier to the product to the customer, from the customer through the payment to the product, etc. Where all of these connections are stored, managed and used by the company to run the business.” “We call this the”<click>
- “Imagine a world where your supply chain, your logistics, your manufacturing, your commerce, your payments, your CRM, everything is connected. Where every single piece of data can start anywhere and end anywhere, from the supplier to the product to the customer, from the customer through the payment to the product, etc. Where all of these connections are stored, managed and used by the company to run the business.” “We call this the”<click>
- Many get it wrong Why? RDBMS + silos It’s hard to use the connections inside of each and every one of these silos. And it’s impossible to use them across.
- You might ask: why do you need a special database?
- Presenter Notes - Neo4j - Enterprise Grade Database to re-imagine your data as a Graph Model and store your data as a Graph Traverse any number of or levels of relationships in real-time Evolve the model on the fly
- Mention that at the time of writing, Neo4j connects data as it stores it. This feature is called Index-free adjacency. The benefit of index-free adjacency is realized at the time of reading data.
- Neo4j best in class on traversal speed and scaling reads.
- And in SQL, it’s a 20-table join 1M+ pointer-chasing operations per second per hardware thread
- “Neo4j query engine processes millions of hops per second per processor core”
- Marriott supports real-time pricing across all of their hotel properties using three Neo4j clusters that collectively process over 300M pricing operations per day, each of which entails one or more writes + one or more reads. This replaced Marriott’s single largest Oracle RAC cluster, and Marriott now supports 10x the transaction with Neo4j throughput on half of the hardware as compared to their previous Oracle solution. Transaction response time was so fast that the mainframe could not initially keep up, requiring several months of mainframe tuning before Neo4j could be ramped in for all hotels. See presentation by Marriott at http://graphconnect.com/gc2016-sf/ titled “Building a High Performance Pricing Engine at Marriott”.
- Neo Technology is the creator of Neo4j, the #1 database for connected data. It gives any organization the ability to quickly and easily exploit relationships between different data - the key to being a “connected enterprise.” Unlike other database models, Neo4j connects data as it stores it. This means the intelligence created from those connections is available directly from the database – without the need for additional processing. Its emphasis on native graph storage and real-time processing is pivotal in helping all kinds (and sizes) of organizations easily exploit data connections. It also streamlines and accelerates application development. Neo4j’s massive scalability and real-time graph analysis help our customers deliver powerful new insights from data connections with greater agility and at lower cost than has previously been possible. Neo4j is perfect for improving the customer experience through real-time personalized recommendations; fighting financial and other types of crime; exploiting IoT and artificial intelligence; delivering new manufacturing/supply chain efficiency; and seamlessly integrating disparate master data to create a “connected enterprise.” We have over 200 customers that include Walmart, UBS, Cisco, HP, adidas and Lufthansa, in addition to a whole range of exciting startups. With over three million downloads and 50k training attendees, we have a vast and thriving ecosystem of developers, partners and users, and we are recognized as a leading player in our market.