Total Data: Platforms & Analytics

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1 Total Data: Platforms & Analytics This report from 451 Research s Total Data: Data Platforms & Analytics Market Monitor service provides updated market and vendor estimates through CY Q415. This report leverages 451 Research s deep knowledge of and relationships within the data platforms and analytics market, resulting in a proprietary forecast based on a bottom-up analysis of 284 vendors current revenue and growth expectations through This analysis was developed and will be maintained with the support of our data analyst team, primarily Matt Aslett, Research Director, Data Management and Analytics, Krishna Roy, Analyst, BI and Analytics, and Jason Stamper, Analyst, Data Platforms and Analytics. Included in the report is our Total Data: DP&A taxonomy, market-sector revenue estimates, growth forecasts and a view of the competitive landscape for each of the nine market subsectors listed to the right. Total Data: Data Platforms & Analytics Operational Databases Analytic Databases Reporting and Analytics Data Management Performance Management Event/Stream Processing Distributed Data Grid/Cache Search (Search-Based Data Platforms and Analytics) Hadoop Greg Zwakman Research Director, Quantitative Services Matt Aslett Research Director, Data Management & Analytics Krishna Roy Analyst, BI and Analytics Jason Stamper Analyst, Data Platforms and Analytics Kathleen Frodyma Associate Analyst, Quantitative Services

2 About 451 Research 451 Research is a preeminent information technology research and advisory company. With a core focus on technology innovation and market disruption, we provide essential insight for leaders of the digital economy. More than 100 analysts and consultants deliver that insight via syndicated research, advisory services and live events to over 1,000 client organizations in North America, Europe and around the world. Founded in 2000 and headquartered in New York, 451 Research is a division of The 451 Group Research, LLC and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication, in whole or in part, in any form without prior written permission is forbidden. The terms of use regarding distribution, both internally and externally, shall be governed by the terms laid out in your Service Agreement with 451 Research and/or its Affiliates. The information contained herein has been obtained from sources believed to be reliable. 451 Research disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although 451 Research may discuss legal issues related to the information technology business, 451 Research does not provide legal advice or services and their research should not be construed or used as such. 451 Research shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The reader assumes sole responsibility for the selection of these materials to achieve its intended results. The opinions expressed herein are subject to change without notice. NEW YORK 20 West 37th Street 3rd Floor New York, NY P F SAN FRANCISCO 140 Geary Street 9th Floor San Francisco, CA P F LONDON Gower Street London, UK WC1E 6HH P +44 (0) F +44 (0) BOSTON 125 Broad Street 4th Floor Boston, MA P F

3 Table of Contents Methodology Data Sources Total Data: Market Taxonomy Total Data: Sector Definitions Vendor Portfolio Analysis (6 pages) Total Data: P&A Market Revenue Total Data: P&A Segment Revenue Total Data: P&A Growth Expectations by Segment Vendor Revenue Distribution (Ownership) Vendor Revenue Distribution (Range) Vendor Revenue Distribution (Range Cont.) Vendor Rankings by Total Data: TTM Revenue Range (3 pages) Total Data In Practice M&A Activity Total Data Funding Summary Operational Databases Market Definition/Vendors Total Operational Database Market Operational Database Vendor Distribution (Public/Private) Operational Database Vendor Distribution Summary Operational Database Segment Revenue (No/New/MySQL) Operational Database: Segment Revenue Distribution (Ownership) Operational Database Vendors by Segment Analytic Database Market Definition/Vendors Total Analytic Database Market Total Data: Vendor Distribution Summary

4 Table of Contents (Cont.) Analytic Database Vendor Distribution (Public/Private) Analytic Database Vendor Distribution Summary Reporting & Analytics Market Definition/Vendors Total Reporting & Analytics Market Reporting & Analytics Vendor Distribution (Public/Private) Performance Management Vendor Distribution Summary Event/Stream Processing Market Definition/Vendors Total Event/Stream Processing Market Event/Stream Processing Vendor Distribution (Public/Private) Event/Stream Processing Vendor Distribution Summary 2015 Reporting & Analytics Vendor Distribution Summary Cache Market Definition/Vendors Data Management Market Definition/Vendors Total Data Management Market Data Management Vendor Distribution (Public/Private) Data Management Vendor Distribution Summary Performance Management Market Definition/Vendors Total Performance Management Market Performance Management Vendor Distribution (Public/Private) Total Cache Market Cache Vendor Distribution (Public/Private) Cache Vendor Distribution Summary Hadoop Market Definition/Vendors Total Hadoop Market Hadoop Vendor Distribution (Public/Private) Hadoop Vendor Distribution Summary

5 Table of Contents (Cont.) Search Market Definition/Vendors Total Search Market Search Vendor Distribution (Public/Private) Search Vendor Distribution Summary Total Database-as-a-Service Market Database-as-a-Service Market Vendors Total Data Vendor Participation by Geography Total Data Regional Highlights Total Data Summary Data (Revenue $m)

6 Methodology Market Monitor s Bottom-Up Approach Return to Contents Question/ Briefing 284 Vendors included in analysis are estimated and forecasted individually Our Total Data: Data Platforms & Analytics database contains individual models on 284 vendors in the market. Each model contains intelligence specific to that company (i.e., customers, pricing, deal sizes and trends) with a forecast that incorporates the unique traits, strengths and weaknesses of the vendor. 100% Of market estimate and forecast based on individual vendor estimates, no blackbox other category A bottom-up analysis entails creating individual estimates and forecasts for each market participant in lieu of relying on historical or related data, applying broad assumptions or extrapolating market totals based on input from a handful of large vendors (a top-down approach). 8 out of 10 Vendors we have briefed directly to support our findings This analysis leverages our deep knowledge of and relationships within the Total Data: Data Platforms & Analytics marketplace, resulting in a proprietary forecast of industry revenue based on a bottom-up analysis of each vendor s current revenue and growth expectations.

7 Market Monitor Data Sources Return to Contents Question/ Briefing 15, CXO Vendor briefings as a company annually Sector analysts support estimates Financial analysts contribute to MM Financial/banking clients provide insight Executive-level access across IT landscape

8 Total Data: DP&A Taxonomy/Scope of Coverage Return to Contents Question/ Briefing The Data Platforms & Analytics sector incorporates all the technologies used by companies to store, process and analyze data that is pertinent to their business. This means providing the data that drives both internal- and externalfacing business applications and collecting and analyzing the data generated by a company in the course of its business activities to identify potential opportunities for improvement. In addition to the core data platforms predominantly operational and analytic databases, but also Hadoop, data grid/cache technologies and event/stream processing this sector also includes the data management and dataintegration technologies used to prepare the data for analysis, as well as the analytics tools and technologies themselves. Total Data: Data Platforms & Analytics Operational Databases Analytic Databases Data Management Reporting and Analytics Performance Management Event/Stream Processing Distributed Data Grid/Cache Search (Search-Based Data Platforms and Analytics) Hadoop Traditional Relational & Non-Relational NoSQL NewSQL Advanced Analytics: Predictive Analytics/Other Advanced Analytics: Machine Learning Traditional BI & Reporting Self-Service BI & Visualization Revenue Scope of Analysis Software Analysis includes license and maintenance revenue Services/support Analysis only includes services that are part of a software sale Analysis includes incremental service offerings generated by Total Data hardware/software sales Does not include third-party service provider activity/consultants Hardware Includes revenue associated with appliances sold to support product functionality Does not include stand-alone hardware sold separately and leveraged to support software functionality

9 Total Data Sector Definitions* Return to Contents Question/ Briefing Operational Databases Databases used to support and drive operational business applications, including relational, nonrelational and NoSQL databases. Analytic Databases Databases used to support and drive analytic workloads, including data warehouses and data marts, running analytic applications such as reporting and business intelligence tools. Reporting and Analytics Business-user-facing analysis tools, including reporting, ad hoc analytics and visualization, as well as more advanced analytics tools, such as predictive and statistical analytics, used by data scientists and data analysts. Data Management Tools and applications to discover, integrate and prepare data for analysis, as well as master data management, data quality, and profiling, cleansing and governance tools. Performance Management Specialist analytics tools used to monitor an organization s performance according to key performance indicators. Event/Stream Processing Engines designed to enable real-time processing of events and streams of events from multiple data sources. Distributed Data Grid/Cache In-memory distributed data layers including data caching and distributed data grid processing used to improve the performance of dynamic applications and reduce database load. Search (Search-based Data Platforms and Analytics) The use of search and related technologies to better structure and order corporate data in order for it to be readily searchable by staff, customers, suppliers or partners. Includes log management technologies used to search for and extract information from logs, sensor data and other machine data. Hadoop The open source distributed data storage and processing framework and its associated projects and products. * More detailed sector definitions can be found at the beginning of each segment review.

10 Greg Zwakman Tim Miller Yulitza Peraza x x x156 Kathleen Frodyma x168 Andrew.Waetzig x334 Or