Is Oracle Exadata Giving you a Headache? Rajinder Gill, President and Founder Yogesh Bhalerao, Architect

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1 Is Oracle Exadata Giving you a Headache? Rajinder Gill, President and Founder Yogesh Bhalerao, Architect

2 Agenda How Oracle Exadata is architected What are the key features of their solution Ways to engage and position Microsoft SQL Server platform as an robust alternative Appliance and non-appliance options against Exadata How Microsoft/HP and SE partnership succeeded at a major Healthcare account with a SQL Server win against Exadata 2

3 Architecture Traditional Private Cloud Oracle Exadata Positioning Unstructured Oracle Exadata Oracle Exadata Oracle Big Data Oracle Database Appliance Oracle Exalytics OLTP Data warehouse Processing 3 Big Data

4 Oracle Exadata Positioning Extreme performance for data warehouses Exadata Smart Scan and data mining scoring Extreme performance for OLTP applications Exadata Smart Flash Cache Extreme performance for consolidated workloads Exadata's massively parallel grid, and Exadata qualityof-service resource management 4

5 What is Oracle Exadata? Oracle Exadata Database servers Oracle Exadata Storage Storage Server Storage Software Interconnect InfiniBand switches Software Operating System (Oracle Linux or Solaris 11 Express) Database Server (Oracle 11g R2, Oracle RAC) Storage (Oracle Exadata Storage Server Software) Solutions (Oracle Exadata Intelligent Warehouse Solution) Other software 5

6 Oracle Exadata Storage Smart Scan Processes queries at the storage layer, returning only relevant rows and columns to the database server Less data travels over fast 40GB InfiniBand interconnects Improved query performance and concurrency Smart Flash Cache Transparently caches 'hot' frequently accessed data to fast solid-state storage Works with the Oracle Database engine to track data access patterns instead of a simple LRU algorithm Helps addresses the disk random I/O bottleneck problem Ten times faster I/O response time and uses ten times fewer disks Hybrid Columnar Compression Hybrid: Uses both Row and Column compression technique Reduces the size of data warehousing tables Average of 10 times Archive tables by 50 times Significant disk space savings on primary, standby and backup databases Improved data warehousing queries performance 6

7 Oracle Exadata Storage Server Software IO Resource Manager DBRM: Manages resources within database, for users and class of work I/O Resource Manager: Manages resources at the inter-database level Storage Index Technology Indexes data contained in the Exadata Cell Tracks minimum and maximum value of tables stored on that cell If the column value as specified in the WHERE clause does not fall within the range no I/O are generated Improving the query performance significantly Smart Scans of Data Mining model scoring Offloads data mining scoring functions to Exadata Reduces Database Server CPU Reduces I/O transfer between Database Servers and Exadata Improved response time 7

8 Promoted Benefits Gain better and deeper industry-specific business insights Get extreme data warehousing performance and advanced analytics out-of-the-box Achieve faster Time-to-Value through a quicker and more predictable implementation Benefit from Oracle's expertise as the leader in data warehousing 8

9 Scaling Oracle Exadata Full Half Quarter 2 - Database Servers 3 - Oracle Exadata Storage Servers 2 - InfiniBand Switches 4 - Database Servers 7 - Oracle Exadata Storage Servers 3 - InfiniBand Switches 8 - Database Servers 14 - Oracle Exadata Storage Servers 3 - InfiniBand Switches 9

10 Quality of Service System administrators can directly manage application service levels Policy-based architecture Oracle Database Quality of Service (QoS) Management correlates accurate run-time performance and resource metrics Analyzes using expert system Identify bottlenecks Provide recommended resource adjustments to meet and maintain performance objectives Under dynamic load conditions Preserve more business critical objectives QoS Management Memory Guard features Cluster Health Monitor detects nodes at risk of failure due to memory over-commitment Responds by automatically preventing new connections 10

11 Availability Redundant power supplies and fans for all servers Redundant InfiniBand switches Redundant Power Distribution Units Oracle Automatic Storage Management All database files mirrored; disk failures do not interrupt query processing Oracle Exadata Storage Server Software: storage server failures are tolerated Backup is performed using Oracle Recovery Manager Point in time restores are performed using Oracle Flashback Technologies 11

12 Manageability Oracle Embedded Integrated Lights Out Manager (ILOM) Oracle Enterprise Manager Grid Control Oracle Quality of Service Management (requires Oracle Database ) Policy-based management 12

13 Ways to engage and position Microsoft SQL Server platform as an robust alternative Appliance and non-appliance options against Exadata Rajinder Gill, President and Founder Yogesh Bhalerao, Architect

14 Architecture Traditional Private Cloud Microsoft /HP Database Appliances Unstructured Enterprise Database Consolidation Enterprise Data Warehouse (HPC) Enterprise Data Warehouse (Hadoop) Business Data warehouse Business Decision Appliance Structured Enterprise Data Warehouse (HPC) OLTP Data warehouse Processing 14 Big Data

15 Ways to Position TCO In a recent survey of Oracle customers in mid market SQL Server has advantage in TCO (+22%), and simplicity (+16%). Source: Microsoft, survey of 100 Oracle users in mid market, December 2009 Scalability SQL Server 2008 R2 outperforms Oracle 11g at 100GB, 300GB, 1TB & 3TB TPC-H price/performance benchmark Source: Transaction Processing Performance Council ( Security SQL Server experienced fewer security vulnerabilities over the last four years, compared with over 375 critical security vulnerabilities in Oracle s database products. Source: National Vulnerability Database (NIST) as of January BI SQL Server is in the leader s quadrant in Gartner s Magic Quadrant for BI Source: Gartner, January 2011 Source: Microsoft Platform 15 Modernization Team

16 Microsoft SQL Server 2012 Performance Availability Security Manageability Partitioning, Compression AlwaysOn and Virtualization Identity and Access Control Centralized management and deployment ColumnStore Indexes Online Operations Encryption and Auditing Policy-based Management BigData (Hadoop) Windows Server Core support Standards Compliance PowerShell, PDC Database Engine Optimizer Availability enhancements Extensible Key Management SCOM and Thirdparty tools 16

17 HP Database Appliances Enterprise Consolidation Enterprise Data Warehouse Business Decision Business Data Ware house HP ProLiant 465c ( TB / TB) Pre-configured control rack 2 Six-core/96GB RAM/8-300GB disk drives 2 Six-core/96GB RAM HP P2000 G3 MSA (29/57 TB Raw Disk Capacity) Pre-configured Data rack (Upto 4 supported) Windows Server 2008 R2,SQL Server GB / GB Disks MAP Tool, BPA Tool, Management Packs SQL Server 2008 R2 PDW Edition Sharepoint Server 2010 (separate license) Windows Server 2008 R2,SQL Server 2008 R2 Tailored consulting Reference Architectures Getting started guide Quick Deployment tool 17

18 How Microsoft/HP and SE partnership succeeded at a major Healthcare account with a SQL Server win against Exadata Rajinder Gill, President and Founder Yogesh Bhalerao, Architect

19 Partner Win over Oracle Why we won (Partner, Performance, POC, Price) HP Funded Scalability Experts Proof of Concept on HP DL 980 with Violin Memory We showed queries running 10X faster than current environment on HP DL980 and SQL 2008R2 WITH NO PERFORMANCE TUNING We showed queries run 34X 44X faster on HP DL980 and SQL 2008R2 after performance tuning The HP DL980 configuration running SQL Server 2008R2 performed as well as Exadata and was 3X 5X less expensive solution. Customer selected HP and Microsoft Solution. (WIN) Violin Memory was over kill. Entire DB fit in 1 TB RAM; disc response time was minimal. Customer chose to stick with SAN. In applications with larger DB, recommend Violin Memory for fastest response

20 Goals Objectives and Constraints Goal Meet the IEHP projected growth of 900,000 members Objectives Determine if IEHP queries can run 10X faster than current configuration Identify the target configuration to meet the above required SLA Determine how I/O speed impacts performance Constraints Application logic run will be the same as the application logic run on the Exadata server 20

21 Setup RDP access POC2 DL980G7 64 Cores/2TB POC2H DL980G7 32 Cores/1TB SAN Violin Memory 21

22 Scenarios Test scenarios Multiple hardware configuration SAN/Violin Memory (4/8, Full/Half/OFF) Processor (4/8 Sockets) Memory (2TB/1TB/512GB) SQL Server configuration Configuration changes Physical Layout Schema modifications Database access Stress Rows (1X, 2X,, 10X) Concurrency (1 user, 10 user) Test automation script 22

23 Query Response Time 34X 44X 5.5X 23

24 System Throughput 33X 41X 5X 24

25 Query Response Time 15mins Optimize queries for improved performance 5mins 4X 1.5mins 4mins 25

26 Optimization - Database access 7X 4X 1.4X 26

27 How can we help you? A combined MSFT/HP/SE solution can effectively compete and succeed against Oracle Exadata Engaging Scalability Experts Funding options Velocity/BIF/FLP/OMNI/SafePassage Two weeks POC/Assessments focused on Oracle Exadata compete For more information contact us at 27

28 Thank You for Attending We are here to help beat Oracle Exadata. If we can help in anyway on your accounts please contact us. You can find more information about our services at Please send us an Rajinder Gill, Yogesh Bhalerao,

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