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1 © 2012 IBM Corporation
Formerly Formerly
Technical Tour: New Features in IBM DB2 10 and IBM InfoSphere Warehouse 10
Cindy Fung, Conor O’Mahony, Serge RielauApril 26, 2012
2 © 2012 IBM Corporation
DB2 Tech Talk series host: Serge Rielau
SQL Architect, DB2 for Linux, UNIX, and Windows at IBM
Blog: www.sqltips4db2.com
Today’s presenters:
Conor O’MahonyProgram Director, DB2 Product MarketingTwitter: @conor_omahony, Blog: database-diary.comCindy FungProduct Manager, DB2 Common Product Management
Access the presentation for this Tech Talk:
Ibm.com/db2/labchats or http://ibm.co/ttfileapr
3 © 2012 IBM Corporation
Disclaimer
The information contained in this presentation is provided for informational purposes only.
While efforts were made to verify the completeness and accuracy of the information contained in this presentation, it is provided “as is”, without warranty of any kind, express or implied.
In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice.
IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this presentation or any other documentation.
Nothing contained in this presentation is intended to, or shall have the effect of:
• Creating any warranty or representation from IBM (or its affiliates or its or their suppliers and/or licensors); or
• Altering the terms and conditions of the applicable license agreement governing the use of IBM software.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
4 © 2012 IBM Corporation
Introducing DB2 10 and InfoSphere Warehouse 10 for Linux, Unix and Windows Systems
DB2 10 and InfoSphere Warehouse 10 advancements in:
Low Operational Costs
Ease of Development
Reliability
5 © 2012 IBM Corporation
Introducing DB2 10 and InfoSphere Warehouse 10 for Linux, Unix and Windows Systems
DB2 10 and InfoSphere Warehouse 10 advancements in:
Low Operational Costs
Ease of Development
Reliability2007
IBM DB2 9.5
6 © 2012 IBM Corporation
Introducing DB2 10 and InfoSphere Warehouse 10 for Linux, Unix and Windows Systems
DB2 10 and InfoSphere Warehouse 10 advancements in:
Low Operational Costs
Ease of Development
Reliability2007
IBM DB2 9.7IBM DB2 9.5
7 © 2012 IBM Corporation
Introducing DB2 10 and InfoSphere Warehouse 10 for Linux, Unix and Windows Systems
DB2 10 and InfoSphere Warehouse 10 advancements in:
Low Operational Costs
Ease of Development
Reliability2007
IBM DB2 9.7 IBM DB2 9.8IBM DB2 9.5
8 © 2012 IBM Corporation
Introducing DB2 10 and InfoSphere Warehouse 10 for Linux, Unix and Windows Systems
DB2 10 and InfoSphere Warehouse 10 advancements in:
Low Operational Costs
Ease of Development
Reliability2007
IBM DB2 9.7 IBM DB2 9.8 IBM DB2 10
2012
IBM DB2 9.5
IBM InfoSphere Warehouse 10
9 © 2012 IBM Corporation
High Performance. Low Costs.
ReliabilityHigh availability,
fast recovery, & online utilities
Low Operational CostParallel processing, deep compression,
& automation
Ease of DevelopmentSQL compatibility,
native XML and graph stores,& cloud support
10 © 2012 IBM Corporation
ReliabilityLow Operational Costs
Ease of Development
Building on the Pillars of DB2
Faster Query Response
Improved Index Mgmt
Adaptive Compression
Multi-Temperature Data Management
Real-time Data Warehousing
SQL Compatibility enhancements
Graph Store
Row and Column Access Control
Temporal Capabilities
DB2 pureScale enhancements
Workload Management Enhancements
HADR Supports Multiple Standby Servers
11 © 2012 IBM Corporation
New Release Highlights
• Faster business decisions• Multiple instances of at least 3x faster performance for complex query workloads 1• Real-time operational data warehousing
• Lower storage costs• Have seen more than one client achieve greater than 7x overall space savings with Adaptive
Compression, with some tables achieving more than 10x space savings 2
• Multi-Temperature Data Management
• Improved data availability with DB2 pureScale enhancements
• Enhanced security• Easy and flexible implementation of security policies with row-and-column access control and
label-based access control
• Easy switch from Oracle Database to DB2• PL/SQL compatibility averages 98% 3
1. Based on internal tests of IBM DB2 9.7 FP3 vs. DB2 10 with new compression features on P6-550 systems with comparable specifications using data warehouse / decision support workloads, as of 29 Mar 2012.
2. Based on client testing in the DB2 10 Early Access Program.3. Based on internal tests and reported client experience from 28 Sep 2011 to 07 Mar 2012.
12 © 2012 IBM Corporation
Multiple Instances of at least 3x Faster Query Performance*Increase Ability to Meet SLAs; Postpone Hardware Upgrades
* Based on both external tests by partners, as well as internal tests of IBM DB2 9.7 FP3 vs. DB2 10 with new compression features on P6-550 systems with comparable specifications using data warehouse / decision support workloads, as of 29 Mar 2012.
“IBM and Intel® have collaborated over a decade to optimize DB2 performance with Intel® Parallel Studio 2011, software development suite on Intel® Xeon® processors. We are excited to see a ~10x improvement in query processing performance using DB2 10 over the previous DB2 version, running on IBM System x3850 using Intel® Xeon® Processor E7. Customers can now realize dramatically greater performance boost at lower cost per query running IBM DB2 10 on servers powered by Intel® Xeon® processors.”—Pauline Nist, GM Software Strategies, Intel’s Datacenter & Connected Systems Group
• Up to 35% faster out-of-the-box performance• Combined with new features at least 3x faster query response time• Query Performance Enhancements
Multi-core parallelism and dynamically setting intra_parallelism for specific applicationsHash joins
Consider hash join when the join predicates include expressionsNumerous improvements including memory usage and code optimization, early filtering, and better optimizer costing
Zigzag join on star schemas New ziigzag join technology using multi-dimensional index(es)
AggregationHash duplicate removal and hash aggregation Improved performance with multiple COUNT or SUM DISTINCT operators
Multiple EXISTS and NOT EXISTS subquery predicatesStatistical view improvements
General statistical viewsStatistical views with expressionsExploit column group statistics on statistical viewsAutomatic statistics collection on statistical viewsStatistical view advisor*
Costing enhancementsImproved costing of communication between database partitions in a partitioned database environment
13 © 2012 IBM Corporation
Index Management Re-definedIncrease Ability to Meet SLAs; Lower Administration Costs
• Jump scan • Index gaps are common on queries with multiple predicates using composite
indexes, optimizer generates jump scan instead of sequential scan plan
• Smart index prefetching• Index scan keeps track of index leaf page density and whether accesses are
sequential, if not• Switches to readahead and sequential detection prefetching• Looks ahead to determine the exact pages to access and prefetches them• Faster index accesses for poorly organized indexes and fewer index
reorganizations
• Smart data prefetching• Same technique as smart index prefetching, to efficiently prefetch badly
clustered data pages• Applied only with ISCAN-FETCH• Optimizer can combine both smart index and data prefetching to select
optimal prefetching technique• Faster index scans and data fetching, fewer table reorganizations
• Predicate evaluation avoidance• Faster index scans
• Faster performance, reduced administration• Fewer indexes to maintain• Reduction in index and table reorganization
“Jump Scan optimizes buffer usage by 75 to 80%, resulting in very good improvement in overall performance and saving the CPU cycles.”—Shanmukhaiah D, Cognizant Technology Solutions.
14 © 2012 IBM Corporation
Smart Index Prefetching Means Easier Management
0
5
10
15
20
25
30
35
Index 100% Organized Index 80% Organized Index 50% Organized
DB2 9.7
DB2 10
DB2 10 28%
faster!
Results based on IBM internal testing
DB2 10 query time (seconds)DB2 9.7 query time (seconds)Index Page Reads (Thousands)
Low Operational Costs
15 © 2012 IBM Corporation
DB2 Workload Management Increase Ability to Meet SLAs. Postpone Hardware Upgrades
• New CPU limits• % of CPU resources DB2 can consume on a system or LPAR
• New CPU shares• % of limit a service class can consume
• Hard shares and soft shares
• Introducing a new perspective data-centric (where)• New data tag attribute for storage group
or table space• Priority can be given to requests based on what data is accessed
• WLM work class and threshold DDL have been extended to support the new data tag attribute
• Work class sets are predictive based on query compilation
• Data tag thresholds are reactive and use information that is available at runtime
• These additional features continue to allow WLM to provide you with higher performance by prioritizing important workloads, allowing more efficient distribution of workloads, and saving money by postponing hardware upgrades
Other Processes
Service Class A
Service Class B
Service Class C
30%
20%50%DB2
“Managing and operating a system will be easier with new WLM, and it will lead to longer hardware replacement period, thus increase IT TCO in general.”-- YoungJu Lee, Principal Data Consultant, E1 Tech.
16 © 2012 IBM Corporation
Real-Time Data WarehousingFaster Business Decisions; More Accurate Business Decisions
• Client-side utility to continuously ingest data into DB2 tables• Ingest data directly or from files output by ETL tools or other
means
• Process a continuous data stream through pipes
• Supports multiple data sources concurrently
• Row-level locking with minimal interference to users• Ingest speeds that high enough to populate even large
databases in partitioned database
• Supports • SQL expressions to build individual column values from more
than one data field
• Commit by time or number of rows
• Copying rejected rows to a file or table, or discard them
• Restart and recovery
“You can now continuously feed data into your data warehouse at a high rateeven whilst you are running queries against the tables in your data warehouse.
InfoSphere Warehouse 10 represents a greatly strengthened offering for the data warehouse market.”—Ivo Grodtke, LIS.TEC GmbH
17 © 2012 IBM Corporation
Breakthrough Savings with Adaptive CompressionLower Storage Costs; Lower Administration Costs
DB2 9.1Table
Compression
DB2 9.7Temp Space &
Index Compression
DB2 10Adaptive
Compression
• Adaptively apply both table-level compression and page-level compression
• Table re-orgs not required to maintain high compression
• Compress archive logs
18 © 2012 IBM Corporation
DB2 10 Adaptive Compression
DB2 9.7
• Uses a single, staticcompression dictionary
• Compresses data based on recurring patterns that appear in the table
• A classic table reorganization is necessary to improve compression ratios if a significant number of records in a table have been updated, or if a large amount of new data has been inserted
DB2 10• Multiple page-level dictionaries in addition to a
single table-level dictionary
• Compression dictionary contains locally frequent patterns, with one dictionary stored on every page
• When a page becomes full, page-level compression is applied, immediately freeing up more storage in that page
• Reduced need for table reorganization
Low Operational Costs
19 © 2012 IBM Corporation
Adaptive Compression
• How Do You Start Using It?• Used by default for new tables created under DB2 10 when row
compression is enabled
• For existing tables, enable adaptive compression using the ALTERTABLE statement:ALTER TABLE <tablename> COMPRESS YESorALTER TABLE <tablename> COMPRESS YES ADAPTIVEThese statements affect all data touched from this point onwards.
• To apply adaptive compression to the data that already exists in the table, perform a table reorg
20 © 2012 IBM Corporation
Adaptive Compression has provided 7x or greater overall space savings for more than one client, with some tables achieving 10x space savings*
0
2
4
6
8
10
12
Table A Table B Table C Table D Table E All Tables
Spac
e Sa
ving
s
4x
10x 10x
4x
10x7x
* Based on client testing in the DB2 10 Early Access Program.
21 © 2012 IBM Corporation
Adaptive Compression Shrinks your Data Storage Needs
“Our migration from Oracle Database to DB2 resulted in a 40% storage savings. Upgrading to DB2 9.7 and index compression brought our average savings to 57%. Now adaptive compression brings our average savings to 77%, dramatic savings!”—Andrew Juarez, Lead SAP Basis / DBA, Coca Cola Bottling Company.
“Page-level dynamic compression is one of the new DB2 features that will reduce planned outages and increase storage savings by up to 2X over DB2 9.7%.”—Jessica Tatiana Flores Montiel, DAFROS Multiservicios
• Higher performance• Faster queries for I/O-bound environments
• Faster backups
• Lower costs• Postpone upcoming storage purchases
• Lower ongoing storage needs
• Easier administration with reduced need for table re-orgs
22 © 2012 IBM Corporation
Multi-Temperature Data ManagementIncrease Ability to Meet SLAs; Postpone Hardware Upgrades
• Storage pools for different tiers of storage• For range partitions, policy-based automated movement of data
• Easy administration and usage of different storage technologies• Users can assign a data tag attribute (a value from 0 to 9) to a storage group or table space. The data tag can
be used by DB2 Workload Manager (WLM) to determine how to treat the work
• Data-centric (“where”) approach so that priority can be given to requests based on what data is accessed
• Can lower costs by using faster, but more expensive, disk technology only on storage groups that need faster I/O performance
“The multi-temperature database management feature of DB2 V10.1 is great because the hardware world is not just RAM and hard disks. There are many types of storage options with different I/O speeds and prices. This feature allows administrators to make optimal use of these different devices, balancing expensive SSDs with cheaper SATA disks and everything in between. Using SSDs for indexes and logs and a SATA array for the data, we noticed fantastic improvements in I/O speeds, especially for synchronous reads. Additionally, the background movement of data between the storages groups is very fast.” —Thomas Kalb, CEO ITGAIN GmbH
HOTSSD RAID
WARMSAS RAID
COLDSATA RAID
ARCHIVEOptim Data
Growth
23 © 2012 IBM Corporation
Multi-Temperature Data Management
SSD RAID array(very fast)
FC/SAS RAID array (fast)
SATA RAID array (medium)
Data from the current 3 months
Data from the past 9 months
Data from 1, 2, and 3 years ago
TS_AUG2011
TS_JUL2011
TS_JUN2011
TS_MAY2011
TS_APR2011
…
TS_OCT2010
TS_SEP2010
TS_AUG2010
TS_JUL2010
…
TS_OCT2007
TS_SEP2007
Hot storage group
Warm storage group
Cold storage group
Low Operational Costs
24 © 2012 IBM Corporation
Multi-Temperature Data Management Moving Data Between Storage Tiers
TS_AUG2011
TS_JUL2011
TS_JUN2011
TS_MAY2011
TS_APR2011
…
TS_OCT2010
TS_SEP2010
TS_AUG2010
TS_JUL2010
…
TS_OCT2007
TS_SEP2011
ALTER TABLE salesATTACH PARTITION TS_SEP2011STARTING FROM ('9/1/2011') ENDING ('9/30/11')
ALTER TABLESPACE TBSP_JUN2011USING STOGROUP SG_WARM
ALTER TABLESPACE TBSP_SEP2010USING STOGROUP SG_COLD
1 1
2
2
33
TS_SEP2007
4ALTER TABLE salesDETACH PARTITION TS_SEP2007INTO TS_SEP2007_DETACHED
4
Low Operational Costs
25 © 2012 IBM Corporation
Multi-Temperature Data Management Integration With the DB2 Workload Manager
• DB2 WLM work class and threshold DDL have been extended to support the new data tag attribute
• Work class sets are predictive based on compilation information• Sometimes there isn’t enough information at compile time (for example, queries with
parameter markers) to predict which table spaces will be touched. For this reason…
• Activities can be mapped to a service subclass based on the data expected to be touched before the activity starts to run
• Data tag thresholds are reactive and use information that is available at runtime• Activities can be remapped to a service subclass based on the data touched by the activity
as it is running
Low Operational Costs
26 © 2012 IBM Corporation
Time Travel Query Easily Analyze Historical Trends and Predict Future Demand
“The use of standardized SQL syntax for temporal operations and the integration deep into the database engine, make DB2 a leader in second generation bitemporal data management - Bitemp 2.0!”—Craig Baumunk, Principal at BitemporalData.com
• Query data as it was at any point in the past, or as it will be at some point in the future
• Provide temporal logic and analysis • Can be based on system time, application-based time and queried
using AS OF queries• Higher performance
• Native support for fast performance
• Lower costs• Up to 45x fewer lines of code than Java• Eliminate need to maintain and update custom temporal implementations• Easy to administer (simply turn on for any table)
27 © 2012 IBM Corporation
Time Travel Query
• Sample questions• In what department was Ritu as of 12/01/1997?
• What account will Marcelo be assigned to on 9/15/2012?
12/31/999901/31/1998M24Ritu
Emp Dept System_start System_end
Ritu K25 11/15/1995 01/31/1998
12/31/201203/01/20123Marcelo
Emp Account Bus_start Bus_end
Marcelo 1 03/01/2011 06/30/2011
Marcelo 2 06/30/2011 12/10/2011
These values are automatically maintained by DB2 when Ritu’s dept is updated
These values are maintained by the user or application
Ease of Development
28 © 2012 IBM Corporation
Time Travel Query – Temporal Tables• System-period temporal table
• DB2 tracks the period when a row is valid (beginning when it is inserted, and ending when it is either updated or deleted)
• All currently valid rows are stored in one table
• When a row is no longer currently valid, it is automatically moved to an associated history table that is transparent to users and applications
• DB2 will automatically query the history table and return applicable rows based on the SQL executed against the base table
• Application-period temporal table• The user or application updates the beginning and end of the period in which the
information is valid
• All data is kept in a single table and DB2 will automatically split rows based on SQL activity against the existing rows
• Bi-temporal table• Combines characteristics of both types of temporal tables
Ease of Development
29 © 2012 IBM Corporation
Time Travel Query System-period temporal table – query
• Which department is employee 12345 in?SELECT Dept FROM employeesWHERE EmpID=12345
• Which department was employee 12345 in on 12/01/1997?SELECT Dept FROM employees FOR SYSTEM_TIME AS OF ’12/01/1997’WHERE EmpID=12345
EmpID Dept System_start System_end
12345 M15 05/31/2000 12/31/9999
employees employees_history
M15
J13
EmpID Dept System_start System_end
12345 J13 11/15/1995 01/31/1998
12345 M24 01/31/1998 05/31/2000
67890 K25 11/15/1995 03/31/2000
Note that without the FOR SYSTEM_TIME clause,it defaults to the current table only.
30 © 2012 IBM Corporation
Time Travel Query Application-period temporal table - query
• Find whose account planner 12345 will be working on as of 7/1/2009.SELECT accountFROM accounts FOR BUSINESS_TIME AS OF ‘07/01/2009’WHERE planner=12345
• Find the number of accounts assigned to planner 12345 in 2008.SELECT count(distinct account)FROM accounts FOR BUSINESS_TIME BETWEEN ‘01/01/2008’ AND ’12/31/2008’WHERE planner=12345
planner account Bus_start Bus_end
12345 Carlos 01/31/2008 03/31/2008
12345 Janna 03/31/2008 11/30/2008
12345 Tom 03/01/2009 06/30/2009
12345 Lisa 06/30/2009 12/31/2009
12345 Qi 02/01/2010 04/30/2010
Lisa
2
31 © 2012 IBM Corporation
DB2 pureScale EnhancementsIncrease Ability to Meet SLAs; Easily Add or Remove Capacity
• Integrated feature in v10
• Configurable geographically-dispersed stretch clusters
• Workload management for DB2 pureScale
• Multiple database support• Easy multi-tenancy
• Range partitioning support
• Tablespace backup/restore
• Support for 10-gigabit Ethernet on Power and Red Hat
• Support for multiple Infiniband adapters and switches
Record Breaking Performance… DB2 pureScale on IBM System x holds the record for the SAP Transaction Banking (TRBK) standard application benchmark
with more than 56 million posting transactions per hour.
32 © 2012 IBM Corporation
HADR now Supports Multiple Standby ServersIncrease Ability to Meet SLAs; Disaster Recovery
• HADR now supports more than one stand-by server
• If Primary Server fails, Principal Standby takes over
• If Principal Standby then fails,can switch to Auxiliary Standby
• Auxiliary Standby can provide complete offsite availability, while maintaining speed of local standby
• Recover from application logic errors via time-delayed apply
• Eliminate back pressure on primary via log spooling on standby
33 © 2012 IBM Corporation
Row and Column Access ControlEasy Compliance with Privacy and Sensitive Data Requirements
• Fine-grained access control• Hide rows from unauthorized users• Mask the value of columns for unauthorized users
• Data-Centric security• Policy-driven security, with flexible policies
• Does not require classification• Separation of duties between security officer and DBA
Account Name Income Branch1111-2222-3333-4444 Ana 22,000 A
2222-3333-4444-5555 Bob 71,000 B
3333-4444-5555-6666 Celia 123,000 B
4444-5555-6666-7777 Dinesh 172,000 C
Account Name Income Branch
xxxx-xxxx-xxxx-4444 Ana 22,000 A
xxxx-xxxx-xxxx-5555 Bob 71,000 B
xxxx-xxxx-xxxx-6666 Celia 123,000 B
xxxx-xxxx-xxxx-7777 Dinesh 172,000 C
Account Name Income Branch
2222-3333-4444-5555 Bob 71,000 B
3333-4444-5555-6666 Celia 123,000 B
Teller Amy sees
Telemarketer Pat sees
Issuing a query against the CUSTOMER table: SELECT ACCOUNT, NAME, BRANCH FROM CUSTOMER
34 © 2012 IBM Corporation
Easy and Low Cost Security and Privacy Compliance• Higher performance
• Less data duplication than using “Views” to mask data• More secure than using “Views” to mask data
• Lower cost• Implements a table level authorization function that the security
administrator can use to set up access control based on specified rules• Row level access control
• A doctor can see rows representing her patients only• Column level access control (data masking)
• A teller can see only the last 4 digits of the credit card number column• Easier to maintain that using application code to mask data
“Because we deal with sensitive securities and financial information, the privacy of that information is a top priority. Row and Column Access Control will help enhance our security solutions and help us meet strict regulatory guidelines.”—Shi Jin Li, China Securities Depository and Clearing Corporation Ltd.
“Row and Column Access Control help us to improve data confidentiality and security in production environments.”—Jessica Tatiana Flores Montiel, DAFROS Multiservicios
35 © 2012 IBM Corporation
In DB2 10 Early Access Program testing, DB2 obtained an average of 98% compatibility* with Oracle PL/SQL Easily Move from the More Expensive Oracle Database; Leverage Oracle Skills with DB2
Increase compatibilityLocal Type Definitions10
Increase compatibilityRuntime “purity level” Enforcement9.7.3
PerformanceNUMBER Performance9.7.3
Increase compatibilityNCHAR, NVARCHAR, NCLOB9.7.2
EnhancementObfuscation9.7.2
Increase compatibilityUDF Parameters: DEFAULT 9.7.2
Broaden coverageOCI Support9.7.1
Broaden coverageBasic DPF Support9.7.1
EnhancementConditional Compilation9.7.1
Increase compatibilityImprove BOOLEAN9.7.1
Increase compatibilityFORALL/BULK COLLECT9.7.1
Increase compatibilityUDF Parameters: INOUT 9.7.1
Increase compatibilitySUB STRB9.7.1
Increase compatibilityAutonomous Tx Improvements9.7.4
Increase compatibilityMulti-action Trigger & Update Before Trigger9.7.4
Increase compatibilitySmall LOB Compare9.7.3
Increase compatibilityRAISE_APPLICATION_ERROR9.7.3
Increase compatibilityRATIO_TO_REPORT Function9.7.3
Increase compatibilityROW & ARRAY of ROW JDBC Support9.7.4
Increase compatibilityLIKE Improvements, LISTAGG9.7.4
PerformancePL/SQL Performance10
Increase compatibilityLocal Procedure Definitions10
Increase compatibilityNested Complex Objects9.7.5
Increase compatibilityPro*C Support9.7.5
Reliance Life Insurance
“The total cost of ownership with DB2 running on IBM systems is almost half the cost of Oracle Database on Sun systems.”
Banco de Crédito del Peru
“We switched from Oracle Database to IBM DB2 and cut our costs in half, while improving performance and reliability of business applications.”
JSC Rietumu Banka• Moved from Oracle Database to IBM DB2• Used “compatibility features”• 3-30x faster query performance• 200% improvement in data availability
* Based on internal tests and reported client experience from 28 Sep 2011 to 07 Mar 2012.
36 © 2012 IBM Corporation
Graph Store Rapid development; Increase Ability to Respond to Emerging Classes of Workloads
• Optimized way to store graph triples in DB2
• Supports SPARQL 1.0 query language
• Higher performance• Accelerates Rational use case by up to 3.5x*
• Lower costs• Rapid development with schema-less approach
• Easy adaption as needs evolve
• Simpler data management for triples
Curt Cotner 2012 FerrariownsCar
Curt Cotner 123 Maple Ave, ChicagoownsHouse
Curt Cotner 2001 ThunderjetownsBoat
* Based on internal benchmark tests of Rational Jazz graph store usage, comparing DB2 10 Graph Store with Jena TDB version 0.8.10.
37 © 2012 IBM Corporation
DB2 Graph Store Accelerates Rational Use Case by up to 3.5x*
* Based on internal benchmark tests of Rational Jazz graph store usage, comparing DB2 10 Graph Store with Jena TDB version 0.8.10.
137.343
38.825
0
20
40
60
80
100
120
140
160
Jena TDB DB2 Graph Store
Seco
nds
3.5xFaster
38 © 2012 IBM Corporation
Accelerate Value for New Features Optim Tools Increase Ability to Meet SLAs; Lower Administration Costs
• Updated Database Admin solutions: • IBM Data Studio
• InfoSphere Data Architect
• Updated Performance Mgmt solutions: • InfoSphere Optim Performance Manager
• InfoSphere Optim Query Workload Tuner
• InfoSphere Optim Configuration Manager
• InfoSphere Optim Query Runtime
• Higher performance• Immediate support for new performance features
• Enhanced Visual Explain, Access Plan Explorer and Index Advice
• Extended Insight identifies source of performance issues
• Lower costs• Immediate support for new time saving features (incl. Temporal,
Multi-Temperature Data Management & Row and Column Access Control)
• IBM solutions are integrated and consistent
39 © 2012 IBM Corporation
Coca Cola Bottling Company
“We’ve saved more than a million dollars over the past four years in licensing, maintenance and storage costs by migrating from
Oracle Database to DB2. We’ve reinvested these savings into other business projects while keeping our operating expenses flat. As a result, we don’t have to pass rising costs on to consumers, which
allow us to maintain our sales volumes and market share.”
—Tom DeJuneas, IT Infrastructure Manager, Coca Cola Bottling Company.
40 © 2012 IBM Corporation
Version Upgrades to 10
• DB2• 9.1 → (9.5 or 9.7) then 10
• 9.5 → 10
• 9.7 → 10
• DB2 pureScale• 9.8 → 10
• InfoSphere Warehouse, client, and application server components• 9.1 → (9.5 or 9.7) then 10
• 9.5 → 10
• 9.7 → 10
41 © 2012 IBM Corporation
In Closing, to recap …
Save Time and Money
Deliver TopPerformance
Increase Productivity
Adaptive Compression provides up to 10x storage savingsMulti-Temperature Data Management enables the optimization of storageLower cost than Oracle Database, with 98%+ PL/SQL compatibility making it easy to switch
Connectors for Big Data (Hadoop, Streams, Netezza, etc.)Built-In Time Travel Query enabling faster historical and trend analysis Support for public and private cloud environments Support for RDF Graph Store and SPARQL 1.0
Up to 3x faster performanceDeep exploitation of hardware to maximize efficiencyDB2 pureScale offers superior scale-out efficiency and simplicity vs. Oracle RACContinuous Ingest of data optimizes real-time decision making
DB2 10 saves time and money, delivers top performance, provides greater data availability and security, increases ability to meet SLAs, and increases team productivity for a new generation of applications
42 © 2012 IBM Corporation
Upcoming Tech Talks Don’t miss these in-depth DB2 10 feature talks!
• Storage Optimization in DB2 10 - May 11th• -- Multi-temp data storage• -- Adaptive compression• -- Workload Management
• Oracle Migration and Compatibility Features – late May
• Time Travel Query– June
• Real-time Operational Data Warehousing – September
• No SQL – October
Dates and topics subject to change and modification.
How to register : DB2 Tech Talk web siteor www.idug-db2.com
43 © 2012 IBM Corporation
• Step 1: Listen to the Virtual Event• The Future of Database and Data Warehousing Software
http://bit.ly/J2Z56z
• Step 2: Read the White Paper• The New IBM DB2 10: Analyzing Its User Value in Performance, Costs, Ease of Extension, and Risk
Managementhttp://ibm.co/HXbvjL
• Step 3: Visit the product Web pages• DB2 10: http://www.ibm.com/software/data/db2/linux-unix-windows/• InfoSphere Warehouse 10: http://www.ibm.com/software/data/infosphere/warehouse/
• Step 4: Visit IBM developerWorks – Information Management pagehttp://www.ibm.com/developerworks/data/
-- What’s new in DB2 10 for LUW article-- Temporal Data Management article for LUW-- DB2 10: Run Oracle applications on DB2 10 for Linux, UNIX and Windows-- Check often more to come
• Step 5: Attend the next DB2 Tech Talk on Storage Optimization features• www.idug-db2.com
Next Steps To find out how your organization can benefit or for a demo, call:
1 800 966-9875 (U.S)1-888-746-7426 (Canada) 1800-425-3333 (India)
Or visit http://www.ibm.com/planetwide/for contact information worldwide
44 © 2012 IBM Corporation
Questions
Watching this as a replay? Ask questions at:www.sqltips4db2.com
45 © 2012 IBM Corporation
Thanks for Attending!
ibm.com/db2/labchatsibm.co/ttfileapr