The Briefing Room with Dr. Robin Bloor and Hewlett-Packard Live Webcast on Oct. 30, 2012 Success in today's information economy rises and falls on the efficiency of data management. Companies that treat their information assets as mission-critical components of the business will find ways to better their competitors. The key is to ensure that the foundation of your information architecture can satisfy the wide range of user demands. Moreover, the ability to scale quickly and efficiently has become paramount. Check out this episode of The Briefing Room to hear veteran Analyst Robin Bloor who will explain the benefits of embracing a modern Information Oriented Architecture (IOA). He'll also tout the purpose of using a flexible SQL engine in this era of NoSQL technologies. He will be briefed by Ajaya Gummadi of Hewlett-Packard, who will show how her company’s NonStop SQL has evolved to become a valuable solution for mission-critical data, mixed workloads and high volume databases. She will also explain how their integrated hardware and software stack can help reduce the cost of operations and management in a large-scale database environment.

2. Eric.kavanagh@bloorgroup.com
Twitter Tag: #briefr The Briefing Room

3. ! 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

4. November: Cloud
December: Innovators
January: Big Data
February: Performance
March: Integration
Twitter Tag: #briefr The Briefing Room

5. ! 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

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

7. ! 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

8. 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

9. A Foundation for Success in
the Information Economy
NonStop SQL: Mission-critical
database
Ajaya Gummadi
HP NonStop Database Product Management
Ajaya.Gummadi@hp.com
The Briefing Room, October 30, 2012
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

10. 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.

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

12. Business failure brings a high cost
Average 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 $9,700,000
Source: © 2009 HP internal testing and development over two-year period and other
competitive materials, including IDC “Cost of Downtime Tool” developed for HP
12 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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

14. Market Forces
Affect 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
SLAs
14 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

15. Market Requirements
Affect 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 data
15 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

16. Key NonStop SQL Attributes
Integrated hardware and software stack
Out-of-the-box cluster aware
Mixed Workload – Out-of-the-box
Virtualization – data and workload execution
Support for ANSI and Connectivity standards
Support for Oracle syntax
Online manageability
Leverages and fully aligned with NonStop
server’s takeover and MPP architecture
16 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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

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

19. Transparent software virtualization
Query Processing – parallelizing the work
Query divided into operators – Operator executed by an DAM, ESP,
Nested, merge, hash joins; unions; or Connect process
partial & full aggregations; sorts; – ESPs started for desired degree of
input/output operations (scan, parallelism
update, 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 throughout
19 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

20. Unrivaled availability
Elimination of unplanned downtime
Reliable and failure resilient hardware
35+ years of proven HP NonStop system
engineering
Continuously available, in spite of any
single point hardware or software failure
Survives many multi-component failures
Automatically rebalances after component
repair and reintegration
Patented fault-tolerant software “process-
pair” technology
20 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

21. Unrivaled availability
Fault-tolerant process pairing
Patented HP “process pairing”
technology Query or
Application
Redirected SQL operation
Automatic checkpoint of volatile Node 1 Node 2 Node 15 Node 16
SQL operations Checkpoint
Inherently resilient to transient … …
Cach
Cach
e
e
DAM DAM
P10
B10
software failures
Takeover as opposed X Fabric Y Fabric
CS PS PS CS
to failover
Failure does not interrupt the P01 P14
M01 M14
database availability
No need to restart the database
No database recovery operations
21 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

22. 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 ago
22 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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

24. NonStop SQL handles critical business needs
Customers 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 connections
24 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

25. NonStop SQL handles critical business needs
Customers 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 TCO
25 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

26. NonStop SQL handles critical business needs
Customers 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.

27. 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 business
27 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

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

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

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

31. Twitter Tag: #briefr The Briefing Room

32. The Bloor Group

33. The Bloor Group

34. The Bloor Group

35. 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

36. 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

37. The Data Flow Issue
The Bloor Group

38. 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

39. 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

40. 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

41. Twitter Tag: #briefr The Briefing Room

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

43. Twitter Tag: #briefr The Briefing Room