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Eric.kavanagh@bloorgroup.comTwitter Tag: #briefr The Briefing Room

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! Reveal the essential characteristics of enterprise software, good and bad ! Provide a forum for detailed analysis of today s innovative technologies ! Give vendors a chance to explain their product to savvy analysts ! Allow audience members to pose serious questions... and get answers!Twitter Tag: #briefr The Briefing Room

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November: Cloud December: Innovators January: Big Data February: Performance March: IntegrationTwitter Tag: #briefr The Briefing Room

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! Most organizations and companies rely heavily on databases and database management systems for their operations and processes. ! The landslide of complex data has not diminished the expectation for reliable performance of and immediate access to database systems. ! Further, the global drive for 24/7 mission-critical computing has created challenges in the areas of fault tolerance and scalability, meaning database technology must not only be available on demand, but it must scale on demand, and do so without fail.Twitter Tag: #briefr The Briefing Room

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Robin Bloor is Chief Analyst at The Bloor Group robin.bloor@bloorgroup.comTwitter Tag: #briefr The Briefing Room

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! Established in 1939, HP specializes in developing and manufacturing computing, data storage and networking hardware; designing software; and delivering services. ! Though it holds the highest market share of global PC sales (17.2% last year), it has also been building a formidable collection of commercial information management solutions. ! A key offering is its HP Integrity NonStop, a platform aimed at mission-critical customers that includes an integrated stack of hardware, OS, database, software and applications.Twitter Tag: #briefr The Briefing Room

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Ajaya Gummadi is the Database Product Manager with the HP NonStop Enterprise Division. In this role, she is responsible for setting the database product strategy for the NonStop Business Unit. She engages customers to understand their business and technology requirements, and working with Partners has developed a database ecosystem for the NonStop platform. She works closely with R&D on prioritizing and delivering database innovations that enable customers to create scalable and always available NonStop SQL applications. Working closely with worldwide Sales teams, she evangelizes new product messaging and drives product marketing execution priorities. Ajaya is a Computer Science graduate from BITS Pilani, India and received an EMBA from Pepperdine University’s Graziadio School of Business Management.Twitter Tag: #briefr The Briefing Room

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A Foundation for Success inthe Information EconomyNonStop SQL: Mission-criticaldatabaseAjaya GummadiHP NonStop Database Product ManagementAjaya.Gummadi@hp.comThe Briefing Room, October 30, 2012© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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In today’s need-it-now world… when is it okay for your business to be unavailable to your customers? Never.10 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Your mission-critical experience mattersWhen application availability is vital Data integrity Software updates ZERO NEVER Unplanned downtime COMPROMISED MINIMAL System issues Downtime specified in PREDICTED SECONDS CORRECTED11 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Business failure brings a high costAverage business revenue lost per hour of downtime (US$) Retail $1,999,872 Healthcare $4,223,520 Manufacturing $10,432,800 Communications $15,120,000 Financial $16,833,600 Average $9,700,000Source: © 2009 HP internal testing and development over two-year period and othercompetitive materials, including IDC “Cost of Downtime Tool” developed for HP12 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Market ForcesAffect Database Industry• Diverse data• Large volumes• Extreme Velocity• Instant Access• Operational and Predictive Analytics13 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Market ForcesAffect Database Choices Performance • Need better response times • Continuous data availability requirements Scalability • More data, More Users Capability • Real-time, recommendations, mining Cost and complexity • Out-of-the-box execution efficiencies, consolidate workloads, reduce costs, improve SLAs14 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Market RequirementsAffect Database Architecture• Continuously available data architecture• Economical and highly scalable architecture• Ability to handle high volumes of data• Ability to handle variety of data• Ability to handle velocity of data15 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Key NonStop SQL AttributesIntegrated hardware and software stackOut-of-the-box cluster awareMixed Workload – Out-of-the-boxVirtualization – data and workload executionSupport for ANSI and Connectivity standardsSupport for Oracle syntaxOnline manageabilityLeverages and fully aligned with NonStopserver’s takeover and MPP architecture16 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Architected for availability, scalability, andperformance • Shared-nothing MPP • Data virtualization • Parallel query execution • Out-of-the-box Mixed workload & transactional processing • Cluster aware • Unrivaled availability17 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Scalable infrastructure virtualization Processor nScalable to 4,096 processors MXCS ..... MXCSData virtualization …Transparent software virtualization … ESP ..... ESP ODBC/JDBC connections Query processing ..... DAM DAM Data Access Manager (DAM) Administration and management Processor NonStop System18 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Transparent software virtualizationQuery Processing – parallelizing the workQuery divided into operators – Operator executed by an DAM, ESP,Nested, merge, hash joins; unions; or Connect processpartial & full aggregations; sorts; – ESPs started for desired degree ofinput/output operations (scan, parallelismupdate, delete, insert) Connect Join Varying degrees of parallelism 40 Join Partitioned parallelism Group by Scan 30 Group by 20 Scan Scan Scan Pipeline Operator parallelism parallelism Data-flow, scheduler-driven Parallelism throughout19 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Unrivaled availabilityElimination of unplanned downtimeReliable and failure resilient hardware35+ years of proven HP NonStop systemengineeringContinuously available, in spite of anysingle point hardware or software failureSurvives many multi-component failuresAutomatically rebalances after componentrepair and reintegrationPatented fault-tolerant software “process-pair” technology20 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Unrivaled availabilityFault-tolerant process pairingPatented HP “process pairing”technology Query or Application Redirected SQL operationAutomatic checkpoint of volatile Node 1 Node 2 Node 15 Node 16SQL operations CheckpointInherently resilient to transient … … Cach Cach e e DAM DAM P10 B10software failuresTakeover as opposed X Fabric Y Fabric CS PS PS CSto failoverFailure does not interrupt the P01 P14 M01 M14database availabilityNo need to restart the databaseNo database recovery operations21 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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NonStop SQL handles critical business needs Customers realize scalability and availability benefits of NonStop SQL A NonStop customer manages several PBs of database with 2 DBAs, • pushing 100,000+ tps and has not had any downtime since 1995 A securities company migrates to NonStop SQL for its superior • availability; cost of downtime was $3M/hour Another NonStop customer manages hundreds of Terabytes of data and • has had no outage since going live several years ago22 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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NonStop SQL handles critical business needsCustomers realize mixed workload benefits of NonStop SQL• Customer manages 150++TB of NonStop SQL database• Drives mixed-workload consisting of 39,000 ingests/secondconcurrently with >5000 ad-hoc and OLAP queries, and databasemaintenance activities concurrently• Mixed workload capabilities are available out-of-the-box• No need of application partitioning and multi-tier complex architecturesto workaround lack of these capabilities23 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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NonStop SQL handles critical business needsCustomers realize availability benefits of NS SQL • Customer moves to NonStop SQL for its superior availability and TCO • Objective was to manage the transactions with no unplanned downtime • Performing at 2000 tps, driving 20,000 sql statements from 10,000 concurrent users over 2000 JDBC connections24 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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NonStop SQL handles critical business needsCustomers realize modern and standardization benefits of NS SQL • A customer selects NonStop SQL/MX to consolidate distributed databases into an ODS • Application hosted in cloud and accesses NS SQL/MX • Customer selected NonStop SQL/MX for its modern and standard software interfaces • Customer relies on NonStop scalability, availability and TCO25 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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NonStop SQL handles critical business needsCustomers enjoy clustering and lack of complexity benefits – NonStop SQL delivers out-of-the-box cluster awareness and management, lowering operational costs – No add-on cluster software download and configuration – Adding resources to a cluster is done online in simple steps, complexity taken away – It takes only 19 steps from receving media to having a NonStop SQL database instance up and runniing – NonStop SQL deploys as a single clustered database image across the entire cluster 26 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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NonStop SQL handles critical business needs Customers enjoy flexible configurations– NonStop SQL customers can start small and scale-out flexibly• Customers can start small with a 2-core or 4-core NonStop database server• And scale to thousands of cores• Customers scale user data from 146 GB to Petabytes• There are no prescriptive constraints on how to scale the server in response to growth in business27 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Optimize your database environmentLow Cost of Acquisition means more for saving money with NonStop SQL• All DBA productivity tools are included with the base SQL license withno additional costs• No additional Partitioning Software licenses required• Diagnostic, Tuning, Management packs are all included in the baselicense• NonStop SQL deploys and is managed as a single clustered databaseimage• NonStop has fewer moving parts and less complexity, leading to loweroperational costs28 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Key takeawaysNonStop SQL has an edge in today’s information economy Strong value prop Stronger Proof PointsNonStop SQL is positioned for a takeoff Strong roadmap Investing for the future29 29 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Thank you Ajaya.Gummadi@hp.com© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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Twitter Tag: #briefr The Briefing Room

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The Bloor Group

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The Bloor Group

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The Bloor Group

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The “Big Data” Trend q Corporate data volumes grow at about 55% per annum q VLDB volumes grow at about 55% per annum q This is exponential q Data has been growing at this rate for at least 20 years q As such there is nothing new about big data other than the current data volumes - which follow a well established trend The Bloor Group

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Horses For Courses • RDBMS • Traditional OLTP or DW • Object DBMS • Objects and OLTP • Column stores • Scale Out Analytics • Big Table stores • Log file and sensor data • NoSQL DBMS • Documents and Objects • Mixed Workload • Large scale OLTP and DBMS DW + analytics The Bloor Group

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The Data Flow Issue The Bloor Group

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The Advantages q Fewer databases can mean fewer points of failure q It can mean lower DBA overhead q It can mean simpler recovery q It is very likely to mean lower latency for BI applications q It can mean lower software costs q These advantages can multiply in a mixed workload environment The Bloor Group

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Questions 1. Aside from the NonStop architecture what do you believe are the “technical uniques” of NonStop SQL? 2. What mixed workloads are possible with NonStop SQL? 3. What areas of application do you regard as its sweet spots? 4. What is the largest NonStop SQL database (by data volume) currently in use? What is the largest that has a mixed workload? The Bloor Group

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Questions 5. Where does NonStop SQL sit in relation to HP’s Vertica database? 6. How difficult is it to use (in other words, what are the labor/DBA overheads compared to a traditional RDBMS)? 7. What is HP’s strategy in respect to NonStop SQL and Hadoop? 8. Which database products do you tend to find yourself in competition with? The Bloor Group

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November: Cloud December: Innovators January: Big Data 2013 Editorial Calendar (www.insideanalysis.com)Twitter Tag: #briefr The Briefing Room

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