High performance analytics. Benchmark results.

Transcription

1 High performance analytics Benchmark results.

2 Thousands of industry leaders rely on MicroStrategy. SM

3 The top six reasons why MicroStrategy is a performance leader. MicroStrategy PRIME In-memory datastore High availability and self-optimizing platform Terabyte scale In-memory BI High performance on federated sources Fastest dashboards with up to 60% reduction in bandwidth Highly optimized queries by data source microstrategy.com 3

4 Raising the bar in high performance analytics. MicroStrategy can do all three: 2. Big data 1. Analytics complexity 3. High user scale Enterprises need to deliver high performance analytics to a high number of users accessing Big Data via a range of devices and apps. Other technologies are only optimized for one of these three factors.

5 High performance is no longer a luxury but a necessity. Users expect much higher performance from applications today. 57% of users will abandon an application if they have to wait more than three seconds for the page to load. And this percentage increases when you factor in mobile. The volume, variety, and velocity of data is exploding. 90% of the world s data has been generated over the past two years. Analytic applications are becoming much more complex. Most successful analytic applications have 150+ KPIs. Analytics apps are engaging more users in the enterprise. Increasing from 10% to 80% with the addition of self-service and mobile. MicroStrategy delivers: 250,000+ users supported with an average sub 2-second response. 10x higher median customer data volume than the average of the next ten vendors.* Linear performance that increases as number of cores increase for both virtualized and nonvirtualized environments. * BI Survey 13, BARC, 2013 microstrategy.com 5

6 Performance Benchmark: Enterprise Analytics. The key to making better business decisions is the ability to deliver the right information at the right time to the right user. MicroStrategy s comprehensive analytics platform delivers high performance self-service and enterprise BI on a single platform, on web or mobile devices, and on-premises or in the cloud. Overall results: Using an 8-CPU configuration on v9.4 Sub 2-second response 1.9x greater capacity than v9.0 Test supported 50,710 active users (253,550 actual users) Peak power rating of 284 Kilocycles* * 1 Kilocycle represents the ability to support 1,000 user requests per hour with less than a 2-second average response time.

7 0 Power rating comparison for: Configuration: 8 CPUs, Linux 64, Enterprise Application Mix RESPONSE TIME (sec) x greater capacity 4 Power Rating = 284 Kilocycles Active users supported = 50, QUERY LOAD (kilocycles) Version 9.0 Version ,000 18,000 27,000 36,000 45,000 54,000 63,000 ACTIVE USERS** Performance tests were conducted using a standard benchmark application that reproduced the usage pattern of a typical enterprise business intelligence application that includes reporting, dashboards, and visual data discovery with simulated user populations of up to 255,000 users. The test application consisted of a range of 1,000 to over 60,000 active users accessing in-memory datasets derived from a 1TB database that contained 7B transaction-level records. For more details on the test set-up and more technical information, visit microstrategy.com/performance ** Active users are defined as people who perform their BI interaction during the peak hour. A good rule-of-thumb for converting active users to total user population is to assume that 20% of the total population is active during the peak hour. microstrategy.com 7

8 Performance Benchmark: Self-service visual data discovery. Self-service analytics allows business users to visually explore data and spot patterns and outliers. With MicroStrategy s high performance self-service tools, users can quickly mash up data from multiple sources and develop insights. Creating brilliant and intuitive visualizations is fast, easy, and powerful. Visual data discovery: Using an 8-CPU configuration on v9.4 Sub 3-second response 2.1x greater capacity than v9.3 Test supported 6,370 active users (31,850 actual users) Peak power rating of 118 Kilocycles* * 1 Kilocycle represents the ability to support 1,000 user requests per hour with less than a 2-second average response time.

9 Performance tests were conducted using a standard benchmark application that reproduced the usage pattern of a typical visual data discovery-based analytics application. The application includes analysis creation, execution, manipulation, storage, and deletion of data based on visual interactive analysis. The test application consists of a range of 1,000 to over 7,000 active users accessing in-memory datasets. 0 Power rating comparison for: Configuration: 8 CPUs, Linux 64, Visual data discovery RESPONSE TIME (sec) x greater capacity 5 Power Rating = 118 Kilocycles Active users supported = 6, QUERY LOAD (kilocycles) 140 Version 9.3 Version ,080 2,160 3,240 4,320 5,400 6,480 7,560 ACTIVE USERS** For more details on the test set-up and more technical information, visit microstrategy.com/performance ** Active users are defined as people who perform their BI interaction during the peak hour. A good rule-of-thumb for converting active users to total user population is to assume that 20% of the total population is active during the peak hour. microstrategy.com 9

10 Performance Benchmark: Dashboards and information-driven apps. Dashboards and information-driven apps allow organizations to embed analytics at the point of decision making. MicroStrategy s powerful dashboard engine allows customers to create applications that tightly integrate into existing workflows, and are personalized to thousands of users. Delivering high information density through a guided business workflow, high performance information-driven apps from MicroStrategy are what s next for dashboards. Dashboard results: Using an 8-CPU configuration on v9.4 Sub 3-second response 1.4x greater capacity than v9.3 Test supported 1,770 active users (8,850 actual users) Peak power rating of 33 Kilocycles* * 1 Kilocycle represents the ability to support 1,000 user requests per hour with less than a 2-second average response time.

11 Performance tests were conducted using a typical business intelligence application that focuses on dashboard execution and manipulations in web. The test application consists of a range of 300 to over 2,000 active users accessing in-memory datasets. For more details on the test set-up and more technical information, visit microstrategy.com/performance Power rating comparison for: Configuration: 8 CPUs,Win 64, Dashboard applications RESPONSE TIME (sec) x greater capacity QUERY LOAD (kilocycles) Power Rating = 33 Kilocycles Active users supported = Version 9.3 Version ,080 1,350 1,620 1,890 ACTIVE USERS** 2,160 ** Active users are defined as people who perform their BI interaction during the peak hour. A good rule-of-thumb for converting active users to total user population is to assume that 20% of the total population is active during the peak hour. microstrategy.com 11

12 Performance Benchmark: OLAP analytics. Users often have to manipulate data to gather insights. Actions such as sorting, pivoting, drilling through, and filtering are commonly referred to as OLAP analytics. Only MicroStrategy can deliver high performance OLAP analytics against multi-terabyte datasets through a unique combination of relational OLAP (ROLAP) and in-memory technology. OLAP analytics results: Using an 16-CPU configuration of MAE v9.4 Sub 2-second response Test supported 10,600 active users (53,000 actual users) Peak power rating of 59 Kilocycles* ipad 12:30 PM 100% * 1 Kilocycle represents the ability to support 1,000 user requests per hour with less than a 2-second average response time.

13 Performance tests were conducted using a typical BI application that simulated users performing intensive OLAP manipulations and interactions. These included (but were not limited to) pivots, drills, filters, and other interactions using complex metrics. The test application consisted of a range of 1,000 to over 12,000 active users accessing in-memory datasets. 0 Power rating comparison for: Configuration: 8 CPUs, Linux 64, OLAP application RESPONSE TIME (sec) Power Rating = 59 Kilocycles Active users supported = 10, QUERY LOAD (kilocycles) Version ,800 3,600 5,400 7,200 9,000 10,800 12,600 ACTIVE USERS** For more details on the test set-up and more technical information, visit microstrategy.com/performance * Active users are defined as people who perform their BI interaction during the peak hour. A good rule-of-thumb for converting active users to total user population is to assume that 20% of the total population is active during the peak hour. microstrategy.com 13

14 Performance Benchmark: Mobile BI - ipad. Users now expect the same high performance from analytics apps on their mobile device thanks to their experience with products from Apple and Google. Business users need to be able to explore, analyze, and act on their data wherever they are, not just when they are at their desk, or when they have a Wi-Fi connection. MicroStrategy s #1-rated mobile BI platform delivers the high performance that users have come to expect on the ipad. ipad results: Using an 8-CPU configuration on v9.4 Sub 2-second response 1.4x greater capacity than v9.3 Test supported 29,140 active users (145,700 actual users) Peak power rating of 540 Kilocycles* ipad 12:30 PM 100% ipad 12:30 PM 100% * 1 Kilocycle represents the ability to support 1,000 user requests per hour with less than a 2-second average response time.

15 0 Power rating comparison for: Configuration: 8 CPUs, Win 64, ipad application 1 2 RESPONSE TIME (sec) Power Rating = 540 Kilocycles Active users supported = 29, QUERY LOAD (kilocycles) 1.4x greater capacity Version 9.3 Version ,400 10,800 16,200 21,600 27,000 32,400 37,800 ACTIVE USERS** Performance tests were conducted on a mobile business intelligence application running on an ipad. The applicatioin includes various mobile dashboard executions. The test application consisted of a range of 2,000 to over 32,000 active users accessing in-memory datasets. For more details on the test set-up and more technical information, visit microstrategy.com/performance ** Active users are defined as people who perform their BI interaction during the peak hour. A good rule-of-thumb for converting active users to total user population is to assume that 20% of the total population is active during the peak hour. microstrategy.com 15

16 Performance Benchmark: Mobile BI - iphone. A mobile workforce means users have access to their data and analytics 24x7. MicroStrategy exhibits an average sub 2-second response time for BI apps on an iphone even under heavy load. As a result, great performance and analytics that users have come to expect on the iphone from consumer apps is now available for analytics apps as well. Overall results: Using an 8-CPU configuration of v9.4 Sub 2-second response 1.3x greater capacity than v9.3 Test supported 27,090 active users (135,450 actual users) Peak power rating of 510 Kilocycles* 12:30 PM 100% 12:30 PM 100% 12:30 PM 100% * 1 Kilocycle represents the ability to support 1,000 user requests per hour with less than a 2-second average response time.

17 Performance tests were conducted on a mobile business intelligence application running on an iphone. The application includes various mobile dashboard execution scenarios. The test application consisted of a range of 2,000 to over 30,000 active users accessing in-memory datasets. 0 Power rating comparison for: Configuration: 8 CPUs, Win 64, iphone application 1 RESPONSE TIME (sec) Power Rating = 510 Kilocycles Active users supported = 27, QUERY LOAD (kilocycles) 1.3x greater capacity Version 9.3 Version ,400 10,800 16,200 21,600 27,000 32,400 ACTIVE USERS** For more details on the test set-up and more technical information, visit microstrategy.com/performance ** Active users are defined as people who perform their BI interaction during the peak hour. A good rule-of-thumb for converting active users to total user population is to assume that 20% of the total population is active during the peak hour. microstrategy.com 17

18 Performance Benchmark: Performance impact of increasing CPU cores Analytic applications rapidly grow as organizations embrace business intelligence as a core element of success. A well-architected analytics solution should scale linearly and predictably to allow enterprises to plan and account for growth. In addition, analytic platforms should run well on both physical servers and virtual servers for maximum flexibility. MicroStrategy s analytics platform uniquely satisfies both these requirements. Results: Performance increases linearly as the number of cores increase for both virtualized and non-virtualized environments. Running a BI application on a Linux operating system within a virtual machine (VM) imposes a performance penalty that varies according to the number of CPUs in the server with 9% reduction at 1 CPU, 11% reduction in capacity at 4 CPUs and 13% reduction at 8 CPUs. Running in a VM environment did not affect the average response time performance of the BI application. Both systems delivered the same sub 3.5- second average response times.

19 and virtualization. Power rating comparison for: Configuration: Dashboard App, MicroStrategy v ,240 POWER RATING* (Kilocycles) % 13% 2,700 2,160 1,620 1,080 ACTIVE USERS* Linux Linux on VM Number of CPU Cores Performance tests were conducted using a typical business intelligence application to measure the impact of increasing the number of CPU cores as well as the impact of using virtualization technology. The test application consisted of a range of 300 to over 2,000 active users accessing in-memory datasets. For more details on the test set-up and more technical information, visit microstrategy.com/performance * Active users are defined as people who perform their BI interaction during the peak hour. A good rule-of-thumb for converting active users to total user population is to assume that 20% of the total population is active during the peak hour. microstrategy.com 19

20 Introducing MicroStrategy PRIME: Game changing in-memory technology. MicroStrategy PRIME breaks new ground by tightly coupling a state-of-the art visualization and dashboarding engine with an innovative massively parallel in-memory data store. This architecture allows companies to rapidly build and deploy powerful information-driven apps that deliver analytics to hundreds of thousands of users in a fraction of the time and cost of other approaches. Facebook runs PRIME: 300+ PB of Hadoop source data 30+ TB analyzed in PRIME 220+ nodes 175 billion rows Sub 3-second query response Close Wisdom Summary Filter WISDOM OVERVIEW 15,131,760 FANS 1,475,778,873 PAGE LIKES 141,601 CITIES 98 AVG PAGE LIKES PER FAN 332 AVG # OF FRIENDS PER FAN 32 AVG AGE Filter results: 15,131,760 fans in Wisdom Demographics: Average Fan Age 32 Under 17 4% Married College Urban 48% of fans are women % 20% 17% 41% 77% 80% Over 45 14% 52% of fans are men Interests: Overall Movies Sports Music Companies/Products 1. Facebook 1. Megan Fox 1. Cristiano Ronaldo 1. Michael Jackson 1. Facebook 2. Barack Obama 2. Will Smith 2. Michael Jordan 2. Eminem 2. YouTube 3. Family Guy 3. The Hangover 3. Leo Messi 3. Lady Gaga 3. Starbucks 4. YouTube 4. Harry Potter 4. FC Barcelona 4. Bob Marley 4. Coca-Cola 5. Michael Jackson 5. Vin Diesel 5. NBA 5. The Beatles 5. Disney Location & Language: Top Metro Areas Top Countries Top Languages Most Popular In 1. New York 2. Los Angeles 3. Washington, D.C. 4. Chicago 6% 3% 3% 2% 1. United States 2. Brazil 3. India 4. United Kingdom 51% 4% 3% 3% 1. English (US) 2. English (UK) 3. Spanish 4. Portuguese (Brazil) 66% 6% 6% 3% New York and United States with people who speak English (US) 5. London 2% 5. Mexico 3% 5. German 2% Wisdom Professional Dashboards Demographics Interests Places Psychographics Scores

21 Achieve unprecedented performance with MicroStrategy PRIME 0 AVERAGE RESPONSE TIME (sec) x faster 7x more users PRIME Well-known in-memory database Well-known database appliance POWER RATING (kilocycles) High user interactivity 200GB data set with 50+ dimensions Complex analytical dashboard Equivalent hardware configurations - 30 nodes microstrategy.com 21

22 Big Data Performance. MicroStrategy customers analyze 10 times more data than the industry average. In addition to terabytes of structured data, they also integrate personal, cloud, and unstructured data into their analytic applications. MicroStrategy s unique multi- source capabilities allow organizations to present a single consolidated view of all this information to users without physically integrating and moving all the data. With our patented ROLAP architecture, queries are optimized for each individual data source, and industry leading in-memory technology allows for sub-second responses on large federated data sets. Median Customer Data Volumes* MicroStrategy Competitor Average GBs * According to BARC BI Survey 13

23 MapReduce Databases and NoSQL Columnar Databases Data Warehouse Appliances Relational Databases Hortonworks Cloudera Aster Data MapR Amazon Elastic Map Reduce IBM MongoDB Intel Distribution Pivotal HD Amazon Redshift Infobright Exasol Kognitio Vertica Sand Google Bigquery ParAccel Calpont Vectorwise TeraData Netezza Oracle Exadata Microsoft SQL Server Parallel Data Warehouse SAP Hana IBM DB2 MySQL IMB Informix Oracle Microsoft SQL Server Sybase PostgreSQL Sybase IQ Multidimensional Databases SaaS-Based App Data User/ Departmental Data SAP Salesforce Microsoft Excel Hyperion Connection Cloud Text files Microsoft SQL Server Analytics Services Cognos TM1 Netsuite Zendesk Zuora Intacct Microsoft Access.CSV files Facebook Google Eloqua microstrategy.com 23

24 The world s most comprehensive analytics platform. Period. Trusted analytics you won t outgrow: BI and informationdriven apps Insightful, beautiful, and effortless: Self-service visual data discovery No data left behind: Flexible, agile, and low risk: Personal data, corporate data and Big Data On-premises and in the cloud Brilliant user experience: Web and mobile

25 Don t take our word for it. The experts agree: Product Capabilities Q Ease of Use Business Query Visual Discovery Dashboards Interactive Reports Mobile BI Information Delivery Production Reporting OLAP Viewer OLAP Platform Office Integration Administration Architecture Public Cloud BI BI Platforms Specialty MicroStrategy SAP Business Objects IBM Cognos Oracle BI EE QlikView Tableau Legend: Excellent Good Limited Minimal/None Does not compete in this segment BI Scorecard 2013 BI Scorecard evaluations are the only independent reviews of analytics solutions based on hands-on testing. MicroStrategy has one of the most integrated BI platforms and has continuously expanded its BI capabilities through innovation versus acquisition. Cindi Howson, BI Scorecard Strategic and Product Summary microstrategy.com 25

26 Technical one-pagers For more details regarding the following documents, please go to microstrategy.com/performance MAE Performance Envelope Business Intelligence MAE Performance Envelope Self-Service Visual Data Discovery MAE Performance Envelope Dashboards and Information-driven Apps MAE Performance Envelope OLAP Analytics MAE Performance Envelope ipad MAE Performance Envelope iphone MAE Performance Envelope Performance Impact of Increasing CPU Cores and Virtualization MAE Performance Envelope Intel Processor Comparison

27 MicroStrategy invests continuously in scalability and performance enhancements for its full, natively developed and integrated portfolio, which enables it to support the largest average data volumes accessed in data repositories, at 17 TB (the market average being 4.2 GB), and the highest average data volume size for the biggest query of 2TB (the market average being 492 GB). The average number of end users is more than double the market average (2,979 versus 1,364). Deployments serve, on average, 773 users per IT administration user - the highest score in the survey. Magic Quadrant for Business Intelligence and Analytics Platforms, February 2014 microstrategy.com 27

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