1 For: Application Development & Delivery Professionals The Forrester Wave : Big Data Hadoop Solutions, Q by Mike Gualtieri and Noel Yuhanna, February 27, 2014 Key Takeaways Hadoop s Momentum Is Unstoppable Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprises. Its refreshingly unique approach to data management is transforming how companies store, process, analyze, and share big data. Hadoop Solution Vendors Face A Cutthroat Market The Hadoop buying cycle is on the upswing, and the Hadoop vendors know it. Pure-play upstarts must capture market share quickly to make venture investors happy; stalwart enterprise software vendors must avoid being disintermediated; and cloud vendors must make their solutions cheaper. Hadoop Is Open Source, But These Vendors Add Differentiated Features Hadoop is an Apache open source project that anyone can download for free. The vendors in our evaluation support, extend, and augment Apache Hadoop (Common, HDFS, MapReduce) as a core component of the solution; support Hadoop-related projects; and add differentiated features to make their solutions attractive to enterprises. Access The Forrester Wave Model For Deeper Insight Use the detailed Forrester Wave model to view every piece of data used to score participating vendors and create a custom vendor shortlist. Access the report online and download the Excel tool using the link in the right-hand column under Tools & Templates. Alter Forrester s weightings to tailor the Forrester Wave model to your specifications. Forrester Research, Inc., 60 Acorn Park Drive, Cambridge, MA USA Tel: Fax:
2 February 27, 2014 The Forrester Wave : Big Data Hadoop Solutions, Q by Mike Gualtieri and Noel Yuhanna with Holger Kisker, Ph.D. and David Murphy Why Read This Report Tsssss! That s the sound of Hadoop. It s today s sizzling-hot data management platform because it: 1) offers lower-cost storage than traditional systems, 2) has open source innovation, 3) can scale nicely, as its distributed file system makes it suitable for storing and processing big data, and 4) has opened firms eyes again to the power and profit potential of data. In Forrester s 32-criteria evaluation of big data Hadoop solutions, we evaluated nine solutions from Amazon Web Services (AWS), Cloudera, Hortonworks, IBM, Intel, MapR Technologies, Microsoft, Pivotal Software, and Teradata. This report details our findings about how well each solution fulfills the criteria, shows where the vendors stand in relation to each other, and helps technology management professionals select the right Hadoop solution for their business needs. Table Of Contents 2 Hadoop s Momentum Is Unstoppable Hadoop Is A Solution To The Problem Of Big Data Market Overview: Differentiated, Commercial Hadoop Distributions Big Data Hadoop Solutions Evaluation Overview Evaluation Criteria Focus On Vendors Current Offering, Strategy, And Market Presence Evaluated Vendors Have A Cross-Domain Focus, Market Presence, And Client Interest Clients Have Lots Of Good Choices For Big Data Hadoop Solutions Vendor Profiles Leaders Strong Performers Notes & Resources Forrester conducted methodology-based evaluations in Q3 and Q of nine Hadoop solutions from the following vendors: Amazon Web Services, Cloudera, Hortonworks, IBM, Intel, MapR Technologies, Microsoft, Pivotal Software, and Teradata. Forrester also spoke with at least two customer references provided by each vendor. Related Research Documents The Forrester Wave : Enterprise Data Warehouse, Q December 9, 2013 Deliver On Big Data Potential With A Hub- And-Spoke Architecture June 12, 2013 The Forrester Wave : Big Data Predictive Analytics Solutions, Q January 3, Supplemental Material 2014, Forrester Research, Inc. All rights reserved. Unauthorized reproduction is strictly prohibited. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. Forrester, Technographics, Forrester Wave, RoleView, TechRadar, and Total Economic Impact are trademarks of Forrester Research, Inc. All other trademarks are the property of their respective companies. To purchase reprints of this document, please For additional information, go to
3 The Forrester Wave : Big Data Hadoop Solutions, Q Hadoop s Momentum Is Unstoppable Divide and conquer: That s the simple truth of Hadoop. At its core, Hadoop is a distributed file system and distributed MapReduce processing framework that both stores and processes data by dividing workloads across three, five, or thousands of servers. Forrester defines a big data Hadoop solution as: A distributed data platform that includes, extends, and augments Apache Hadoop (Common, HDFS, YARN, MapReduce) as a core component of the solution, supports Hadoop-related projects, and adds differentiated features that make it attractive to enterprises. Hadoop is unstoppable as its open source roots grow wildly and deeply into enterprise data management architectures. Its refreshingly unique approach to data management is transforming how companies store, process, analyze, and share data of any size and structure. Forrester believes that Hadoop is a must-have data platform for large enterprises, forming the cornerstone of any flexible future data management platform. 1 If you have lots of structured, unstructured, and/or binary data, there is a sweet spot for Hadoop in your organization. Hadoop Is A Solution To The Problem Of Big Data In a recent Forrester survey, technology executives and decision-makers ranked data-related projects at the top of their list for importance and investment. 2 Why? Companies seek deeper insights from the massive amount of structured, unstructured, semistructured, and binary data at their disposal in order to dramatically improve business outcomes. Hadoop can help here by: Capturing and storing all data for all business functions. Most firms estimate that they are only analyzing 12% of the data that they already have, leaving 88% of it on the cutting-room floor. 3 Repressive data silos and a lack of analytics capabilities are key reasons for this. In addition, it s often impossible to judge what data is valuable and what isn t. In the age of big data, you have to capture and store it all. Data that might seem completely irrelevant to your business now, such as mobile GPS data, might be a gold mine in the future. The effort and cost of capturing and storing all data have often forced decisions on what to store and what to throw away. Hadoop has made it possible for enterprises to capture, store, and analyze lots more data in a much more cost-effective way. Supporting advanced analytics capabilities. Traditional business intelligence (BI) tools can benefit from big data, but firms also want to use advanced visualization tools and predictive analytics to explore data in new ways and discover new patterns. A big data solution doesn t just involve supporting large volumes of data; it also has to have the compute horsepower to perform the advanced statistical and machine learning algorithms that data scientists use. Hadoop can do both and is designed to scale out from a single server to thousands of servers for optimized performance.
4 The Forrester Wave : Big Data Hadoop Solutions, Q Sharing customer data quickly and generously with all those who need it. Organizations can use big data to dramatically improve virtually every function of the business, including product research, design, and development; advertising and marketing management; sales; and the customer experience. But data often sits in silos, making it very difficult to share it across the organization. Data combined from multiple silos can help your organization find answers to complex questions that no one has previously dared ask or known how to ask. Hadoop can be used to create a data lake an integrated repository of data from internal and external data sources. Continuously accommodating greater data volumes and new data sources. Your internal applications as well as public sources like social media, mobile platforms, and data services are generating an onslaught of new data. Your big data solution must scale quickly and cost-effectively to handle the increasing volume, velocity, and variety of data. Hadoop can scale linearly to accommodate any amount of data, making it a future-proof solution for your enterprise. Market Overview: Differentiated, Commercial Hadoop Distributions The vendors in this Forrester Wave evaluation provide general-purpose Hadoop solutions based on a differentiated, commercial Hadoop distribution. The market for Hadoop solutions breaks down as follows: Apache open source. Anyone can download Hadoop from the Apache Hadoop website at hadoop.apache.org. The project includes the core modules: Hadoop Common, Hadoop Distributed File System (HDFS), Hadoop YARN, and Hadoop MapReduce. You can also download additional Hadoop-related projects from their respective Apache websites. Customers who choose this route must cobble together a complete solution and forgo the formal support that the commercial vendors offer. Pure-play Hadoop distribution vendors. Cloudera, Hortonworks, and MapR Technologies are venture-backed firms that singly focus on developing, supporting, and marketing unique Hadoop distributions, add-on innovations, and services. These vendors sell their solution directly to customers but also have an aggressive channel strategy of selling through partners, such as large enterprise software vendors. Enterprise software vendors that also offer Hadoop distributions. All of the big enterprise software vendors have a Hadoop strategy because it is an essential data management technology. Many of them partner with one or more pure-play vendors: For example, Oracle partners with Cloudera, while SAP partners with both Intel and Hortonworks. Others like IBM, Microsoft, Pivotal, and Teradata all of which we have included in this evaluation are in various stages of launching their own unique distributions. Microsoft partners with Hortonworks and has used this as a base to create HDInsight for Windows Azure; and Teradata partners with Hortonworks and has ramped up a significant engineering and services organization to offer the Teradata Hadoop distribution built on Hortonworks.
5 The Forrester Wave : Big Data Hadoop Solutions, Q Hadoop in the cloud. Unsurprisingly, customers can also choose from a growing list of cloud Hadoop solutions. Amazon Web Services offers Elastic MapReduce (EMR) and MapR Technologies in the cloud. Microsoft offers HDInsight in its Azure cloud. Most of the other distributions have some cloud deployment options. Startups like Altiscale have built cloud services for the sole purpose of providing Hadoop and related data management features in the cloud. Big data solution providers. Managed hosting and cloud vendors like CenturyLink Technology Solutions (formerly Savvis) offer big data solutions that include infrastructure, Hadoop, other data management platforms, and analytical tools that can be customized to meet the specific needs of customers. These big data solution providers partner with Hadoop distribution vendors CenturyLink partners with Cloudera and MapR Technologies, for example but don t offer their own Hadoop distributions. Hadoop accessories that build out the ecosystem. Hadoop is great, but it is only one part of a complete big data analytics solution. Many firms offer Hadoop-specific tools to manage Hadoop clusters, integrate data, model data, perform predictive analytics, and visualize data in Hadoop. Here are just a few of the many firms, both new and established, that offer Hadoop-based tools: Actian, Compuware, DataTorrent, Global IDs, Pentaho, Platfora, Revelytix, Revolution Analytics, SAS Institute, Software AG, Talend, and Zettaset. Big Data Hadoop Solutions Evaluation Overview To assess the state of the big data Hadoop market and see how the vendors stack up against each other, Forrester evaluated the strengths and weaknesses of the top big data Hadoop solutions vendors. Forrester expects the market for big data Hadoop solutions to skyrocket during the next few years as firms simultaneously look to handle increasingly huge volumes of data while minimizing the cost of doing so. Evaluation Criteria Focus On Vendors Current Offering, Strategy, And Market Presence After examining past research, enterprise need assessments, and vendor and expert interviews, we developed a comprehensive set of evaluation criteria. We evaluated vendors against 32 criteria, which we grouped into three high-level buckets: Current offering. We evaluated each solution s architecture (including workload optimization features); data and processing features; setup, management, and monitoring tools; and compatibility and community features. Strategy. We reviewed each vendor s strategy to assess how they plan to meet current customer demands and fill gaps for enterprise deployments. Core evaluation criteria included acquisition options; ability to execute on their strategy; product road map; and customer support capabilities.
6 The Forrester Wave : Big Data Hadoop Solutions, Q Market presence. To determine each vendor s market presence, we evaluated their company financials; global presence and installed base; as well as strategic partnerships with other software vendors, professional services firms, and software-as-a-service (SaaS)/cloud/hosting providers. Evaluated Vendors Have A Cross-Domain Focus, Market Presence, And Client Interest Forrester included nine vendors in the assessment: Amazon Web Services, Cloudera, Hortonworks, IBM, Intel, MapR Technologies, Microsoft, Pivotal Software, and Teradata. Each of these vendors has (see Figure 1): A cross-domain Hadoop solution. The products included in this evaluation are general-purpose Hadoop solutions that don t focus technologically or functionally on particular functional or horizontal applications such as enterprise resource planning (ERP); customer analytics; customer relationship management (CRM); business intelligence (BI); data warehousing (DW); extract, transform, load (ETL); or the middleware stack. To be included in our evaluation, the vendors needed to offer a self-sufficient, general-purpose Hadoop solution that can stand alone, meaning that it does not need to be embedded in other applications. Microsoft and Teradata solutions are based on Hortonworks, but they had enough significant differentiation in terms of their implementation product features that we included them in this evaluation. Customer references. All of the participating Hadoop vendors provided contact information for at least two customers that agreed to speak to Forrester about their use of the Hadoop solution. Sparked client inquiries and/or has a solution that put the vendor on Forrester s radar. Forrester clients often discuss these vendors and products through inquiries; alternatively, the vendor may, in Forrester s judgment, warrant inclusion in this evaluation because of technology trends or their market presence.
7 The Forrester Wave : Big Data Hadoop Solutions, Q Figure 1 Evaluated Vendors: Product Information And Selection Criteria Vendor Product evaluated Product version evaluated Version release date Amazon Web Services (AWS) Amazon Elastic MapReduce (Amazon EMR) N/A April 2009 Cloudera Cloudera Enterprise 4.5 February 2013 Hortonworks Hortonworks Data Platform HDP 1.3 May 2013 IBM InfoSphere BigInsights 2.1, 2.0 June 2013, November 2012 Intel Intel Distribution for Apache Hadoop August 2013 MapR Technologies MapR M3 Standard Edition, MapR M5 Enterprise Edition, MapR M7 Enterprise Database Edition for Hadoop 3 May 2013 Microsoft Windows Azure HDInsight N/A October 2013 Pivotal Software Pivotal HD 1.x Summer 2013 Teradata Teradata Open Distribution for Hadoop (TDH) 1.3 June 2013 Vendor selection criteria 1. A cross-domain Hadoop solution. The vendor must offer a self-sufficient, general-purpose Hadoop solution that can stand alone, meaning that it does not need to be embedded in other applications. 2. Customer references. All of the participating Hadoop vendors provided contact information for at least two customers that agreed to speak to Forrester about their use of the solution. 3. Sparked client inquiries and/or has a solution that put the vendor on Forrester s radar. Forrester clients often discuss these vendors and products through inquiries; alternatively, the vendor may, in Forrester s judgment, warrant inclusion in this evaluation because of technology trends or their market presence. Source: Forrester Research, Inc.
8 The Forrester Wave : Big Data Hadoop Solutions, Q Clients Have Lots Of Good Choices For Big Data Hadoop Solutions Forrester s evaluation of general-purpose big data Hadoop solutions reveals seven Leaders and two Strong Performers (see Figure 2). We saw lots of Leaders, but none dominate. The Leaders in this big data Hadoop solution evaluation are Amazon Web Services, Cloudera, Hortonworks, IBM, MapR Technologies, Pivotal Software, and Teradata. Vendors start with the Apache open source project and then add packaging, support, integration, and innovations that fill the Hadoop enterprise gaps. All of the Leaders have done this, albeit in slightly different ways as the individual vendor scorecards and the vendor profiles make clear. Younger solutions fare well as Strong Performers. The Strong Performers in this big data Hadoop solution evaluation are Intel and Microsoft. Microsoft has a robust road map for HDInsight that will make it as compelling as any of the Leaders. Microsoft HDInsight is also engineered for Azure, so it is the best solution for Microsoft customers wishing to implement Hadoop on Azure. Intel has focused most of its innovation at the chip level; it needs to beef up its strategy and enterprise tools to make more inroads as an enterprise solution. This evaluation of the big data Hadoop solutions market is intended to be a starting point only. We encourage clients to view detailed product evaluations and adapt criteria weightings to fit their individual needs through the Forrester Wave Excel-based vendor comparison tool. Clients can also schedule an inquiry with the analysts to discuss specific needs.
9 The Forrester Wave : Big Data Hadoop Solutions, Q Figure 2 Forrester Wave : Big Data Hadoop Solutions, Q1 14 Strong Current offering Risky Strong Bets Contenders Performers Leaders MapR Technologies Hortonworks Cloudera Teradata Intel IBM Pivotal Software Microsoft AWS Go online to download the Forrester Wave tool for more detailed product evaluations, feature comparisons, and customizable rankings. Market presence Weak Weak Strategy Strong Source: Forrester Research, Inc.
10 The Forrester Wave : Big Data Hadoop Solutions, Q Figure 2 Forrester Wave : Big Data Hadoop Solutions, Q1 14 (Cont.) Forrester s Weighting AWS Cloudera Hortonworks IBM Intel MapR Technologies Microsoft Pivotal Software Teradata CURRENT OFFERING Architecture Data and processing Setup, management, and monitoring tools Hadoop compatibility and community 50% 30% 25% 25% 20% STRATEGY Licensing and pricing Ability to execute Product road map Customer support 50% 15% 35% 35% 15% MARKET PRESENCE Company financials Global presence and installed base Partnerships 0% 30% 60% 10% All scores are based on a scale of 0 (weak) to 5 (strong). Source: Forrester Research, Inc. Vendor Profiles Leaders Amazon Web Services is king of the cloud. AWS s Elastic MapReduce (EMR) leverages its comprehensive cloud services, such as Amazon EC2 for compute, Amazon S3 for storage, and other services, to offer a very strong Hadoop solution for customers that wish to implement Hadoop in the cloud. Its EMR has already achieved considerable adoption and had the highest score for market presence in this evaluation. AWS s solution road map includes Amazon EMR integration with Amazon Kinesis for stream processing; stronger integration with Amazon Redshift data warehouse and other data sources; autoscaling that will resize clusters based on policies; support for additional NoSQL databases on top of Hadoop; and more BI integration with third-party vendors. AWS has a wide range of partners for Hadoop data access/query, modeling and development, data integration, cluster management, and business applications.
11 The Forrester Wave : Big Data Hadoop Solutions, Q Cloudera innovates to meet enterprise demands. Enterprise customers wanted a management and monitoring tool for Hadoop, so Cloudera built Cloudera Manager. Enterprise customers wanted a faster SQL engine for Hadoop, so Cloudera built Impala using a massively parallel processing (MPP) architecture the same architecture that EDWs use. Cloudera s approach to innovation is to be loyal to core Hadoop but to innovate quickly and aggressively to meet customer demands and differentiate its solution from those of other vendors. Cloudera has more than 200 paying customers, some of which are fairly large deployments with more than a thousand nodes supporting more than a petabyte of data. Cloudera s solution road map will make its Hadoop solution significantly more competitive by meeting customers demands. It has strong partnerships with other technology vendors in most of the areas in which its own portfolio lacks an offering. Hortonworks loves and lives open source innovation. Hortonworks strategy is to drive all innovation through the open source community and create an ecosystem of partners that accelerate Hadoop adoption among enterprises. Where the open source community isn t moving fast enough, Hortonworks will start new projects and commit Hortonworks resources to get them off the ground. For example, Apache Hadoop lacked a decent cluster management console, so Hortonworks founded Ambari and employs most of its committers. Hortonworks has also landed some key strategic partnerships, including Teradata (also in this evaluation), Microsoft (also in this evaluation), SAP, and others. IBM flexes its enterprise muscles with InfoSphere BigInsights. Distributed computing platforms and data management are certainly not new to IBM. It has offerings in grid computing, databases, and many other data management technologies that it can bring to a comprehensive Hadoop solution. In addition, IBM has advanced analytics tools, a global presence, and implementation services, so it can offer a complete big data solution that will be attractive to many customers. IBM s road map includes continuing to integrate the BigInsights Hadoop solution with related IBM assets like SPSS advanced analytics, workload management for highperformance computing, BI tools, and data management and modeling tools. Today, IBM has more than 100 Hadoop deployments, some of which are fairly large and run to petabytes of data. MapR Technologies scored highest for its current offering of all the vendors. The score speaks for itself. MapR Technologies has added some unique innovations to its Hadoop distribution, including support for Network File System (NFS), running arbitrary code in the cluster, performance enhancements for HBase, as well as high-availability and disaster recovery features. However, MapR Technologies has lagged behind the other pure-play vendors, Cloudera and Hortonworks, in terms of market awareness; Forrester clients often ask about Cloudera and Hortonworks but not about MapR Technologies. MapR Technologies has a leading solution; it must now make more noise in the market and accelerate its partnerships and distribution channels.
12 The Forrester Wave : Big Data Hadoop Solutions, Q Pivotal Software puts its Greenplum engineers to work. Pivotal has its own Hadoop distribution, including a massively parallel processing (MPP) Hadoop SQL engine called HAWQ, which offers MPP-like SQL performance on Hadoop. Pivotal was the first EDW vendor to provide a full-featured enterprise-grade Hadoop appliance; it was also the first to roll out an appliance family that integrated its Hadoop, EDW, and data management layers in a single rack. Pivotal s road map will make its Hadoop solution significantly more competitive; its innovations focus on improving the HAWQ SQL engine and integration with other Pivotal products. Pivotal has less than 100 Hadoop customers and most are typically small to midsize deployments. It has an extensive professional services force of EMC technical consultants and data scientists with Hadoop expertise as well as partnerships with complementary solution vendors. Teradata aims to offer the best Hadoop appliance. Leveraging its expertise in EDW appliances and partnership with Hortonworks, Teradata has moved aggressively to offer Hadoop solutions as an appliance. The Teradata distribution for Hadoop includes integration with Teradata s management tool and SQL-H, a federated SQL engine that lets customers query data from its data warehouse and Hadoop. It also has Aster for analytics against Hadoop. Although Teradata has fewer than 100 customers, Teradata s extensive financial, technical, and management resources can create a unique, high-performance Hadoop appliance that few other vendors can match. Strong Performers Intel is late to the game but has unique innovations. Intel only recently entered the Hadoop market with its own Hadoop distribution, which takes advantage of the capabilities of Intel Xeon chips. It is the first vendor to deliver hardware-enhanced performance and security capabilities for Hadoop. Intel s road map in the next year will bring it closer to and on par with other vendors in the Hadoop solutions market. In addition, Intel continues to focus on hardware-enhanced performance and security features, native task optimization, Lustre, and graph analytics, which will differentiate its distribution and make it attractive to prospects. Microsoft starts with a cloud solution and makes Hadoop shine on Windows. Microsoft s Windows Azure HDInsight is based on the Hortonworks Data Platform and is exclusively designed and offered for Windows Azure cloud. Microsoft has worked closely with the Hadoop community and Hortonworks to release Hadoop for Windows. Microsoft also offers Polybase to allow SQL Server customers to execute queries that also include data stored in Hadoop. Microsoft has significant engineering efforts on other open source community Hadoop subprojects, including the next generation of Hive. Microsoft s significant presence in the database, data warehouse, cloud, OLAP, BI, spreadsheet (PowerPivot), collaboration, and development tools markets offers an advantage when it comes to delivering a growing Hadoop stack to Microsoft customers.
13 The Forrester Wave : Big Data Hadoop Solutions, Q Supplemental Material Online Resource The online version of Figure 2 is an Excel-based vendor comparison tool that provides detailed product evaluations and customizable rankings. Data Sources Used In This Forrester Wave Forrester used a combination of data sources to assess the strengths and weaknesses of each solution: Product demos. Vendors spent 1 hour with a team of analysts who performed a hands-on evaluation of the product using a guided demo methodology. We evaluated each product using the same methodology, thus creating a level playing field by evaluating every product on the same criteria. Vendor surveys. Forrester surveyed vendors on their capabilities as they relate to the evaluation criteria. Once we analyzed the completed vendor surveys, we conducted vendor calls where necessary to gather details of vendor qualifications. Customer reference calls. To validate product and vendor qualifications, Forrester also conducted reference calls with at least two of each vendor s current customers. The Forrester Wave Methodology We conduct primary research to develop a list of vendors that meet our criteria to be evaluated in this market. From that initial pool of vendors, we then narrow our final list. We choose these vendors based on: 1) product fit; 2) customer success; and 3) Forrester client demand. We eliminate vendors that have limited customer references and products that don t fit the scope of our evaluation. After examining past research, user need assessments, and vendor and expert interviews, we develop the initial evaluation criteria. To evaluate the vendors and their products against our set of criteria, we gather details of product qualifications through a combination of lab evaluations, questionnaires, demos, and/or discussions with client references. We send evaluations to the vendors for their review, and we adjust the evaluations to provide the most accurate view of vendor offerings and strategies. We set default weightings to reflect our analysis of the needs of large user companies and/or other scenarios as outlined in the Forrester Wave document and then score the vendors based on a clearly defined scale. These default weightings are intended only as a starting point, and we encourage readers to adapt the weightings to fit their individual needs through the Excel-based tool. The final scores generate the graphical depiction of the market based on current offering, strategy, and market presence. Forrester intends to update vendor evaluations regularly as product capabilities and vendor strategies evolve.
14 The Forrester Wave : Big Data Hadoop Solutions, Q Endnotes 1 At the center of the architecture is a data hub (or lake) that serves as a central location for raw, detailed data. Many firms choose an open source platform like Hadoop because of its low cost and treatment of data in an unstructured manner. See the June 12, 2013, Deliver On Big Data Potential With A Hub-And-Spoke Architecture report. 2 Source: Forrsights Software Survey, Q Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q
15 About Forrester A global research and advisory firm, Forrester inspires leaders, informs better decisions, and helps the world s top companies turn the complexity of change into business advantage. Our researchbased insight and objective advice enable IT professionals to lead more successfully within IT and extend their impact beyond the traditional IT organization. Tailored to your individual role, our resources allow you to focus on important business issues margin, speed, growth first, technology second. for more information To find out how Forrester Research can help you be successful every day, please contact the office nearest you, or visit us at For a complete list of worldwide locations, visit Client support For information on hard-copy or electronic reprints, please contact Client Support at , , or We offer quantity discounts and special pricing for academic and nonprofit institutions. Forrester Focuses On Application Development & Delivery Professionals Responsible for leading the development and delivery of applications that support your company s business strategies, you also choose technology and architecture while managing people, skills, practices, and organization to maximize value. Forrester s subject-matter expertise and deep understanding of your role will help you create forward-thinking strategies; weigh opportunity against risk; justify decisions; and optimize your individual, team, and corporate performance. «Andrea Davies, client persona representing Application Development & Delivery Professionals Forrester Research (Nasdaq: FORR) is a global research and advisory firm serving professionals in 13 key roles across three distinct client segments. Our clients face progressively complex business and technology decisions every day. To help them understand, strategize, and act upon opportunities brought by change, Forrester provides proprietary research, consumer and business data, custom consulting, events and online communities, and peer-to-peer executive programs. We guide leaders in business technology, marketing and strategy, and the technology industry through independent fact-based insight, ensuring their business success today and tomorrow
A Custom Technology Adoption Profile Commissioned By CenturyLink Technology Solutions January 2014 Is Your Big Data Solution Production-Ready? 1 Introduction This CenturyLink Technology Solutions (formerly
The Forrester Wave : Big Data Hadoop Distributions, Q1 2016 by Mike Gualtieri and Noel Yuhanna Why Read This Report Hadoop is data s darling for a reason it thoroughly disrupts the economics of data, analytics,
The Forrester Wave : Big Data Hadoop- Optimized Systems, Q2 2016 by Noel Yuhanna and Mike Gualtieri Why Read This Report On-premises Hadoop deployments just got easier. General-purpose hardware infrastructure
For: Infrastructure & Operations Professionals The Forrester Wave : Private Cloud Solutions In China, Q1 2015 by Charlie Dai and Frank Liu, January 23, 2015 Key Takeaways HP And VMware Lead Among Multinationals;
For: Enterprise Architecture Professionals Market Overview: Big Data Integration by Noel Yuhanna, December 5, 2014 Key Takeaways Big Data Creates New Data Challenges Today, most big data deployments are
For: Application Development & Delivery Professionals Big Data In Banking: It s Time To Act by Jost Hoppermann and Martha Bennett, April 15, 2014 Key Takeaways Words, Rather Than Deeds, Currently Dominate
February 2, 2012 The Forrester Wave : Enterprise Hadoop Solutions, Q1 2012 by James G. Kobielus for Application Development & Delivery Professionals Making Leaders Successful Every Day Wave February 2,
For: Customer Insights Professionals The Forrester Wave : Loyalty Program Service Providers, Q4 2013 by Emily Collins, October 30, 2013 Key Takeaways Loyalty Service Providers Don t Just Support Points
For: Application Development & Delivery Professionals The Forrester Wave : Enterprise Data Warehouse, Q4 2013 by Noel Yuhanna and Mike Gualtieri, December 9, 2013 Key Takeaways Next-Generation EDW Delivers
FOR: CIOs The Forrester Wave : Room-Based Videoconferencing, Q3 2012 by Philipp Karcher, August 21, 2012 Key TaKeaWays Videoconferencing Lets Firms Cut Travel and improve everyday Meetings In a work culture
Forecast of Big Data Trends Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014 Big Data transforms Business 2 Data created every minute Source http://mashable.com/2012/06/22/data-created-every-minute/
For: Customer Insights Professionals The Forrester Wave : Web Analytics, Q2 2014 by James McCormick, May 13, 2014 Key Takeaways Adobe, AT Internet, IBM, And Webtrends Are Leaders In Enterprise Web Analytics
FOR: Interactive Marketing Professionals The Forrester Wave : SEO Platforms, Q4 2012 by shar VanBoskirk, October 31, 2012 key TakeaWays seo isn t Just about agencies anymore Search marketers have traditionally
HDP Enabling the Modern Data Architecture Herb Cunitz President, Hortonworks Page 1 Hortonworks enables adoption of Apache Hadoop through HDP (Hortonworks Data Platform) Founded in 2011 Original 24 architects,
The Forrester Wave : Big Data Search And Knowledge Discovery Solutions, Q3 2015 by Mike Gualtieri and Rowan Curran Why Read This Report Welcome to modern enterprise search. These solutions have evolved
FOR: Customer Intelligence Professionals The Forrester Wave : Customer Analytics Solutions, Q4 2012 by srividya sridharan, October 26, 2012 key TakeaWays Customer analytics Users Want help across The analytics
For ENtErprisE ArchitEct professionals The Forrester Wave : Enterprise Data Warehouse, Q4 2015 by Noel Yuhanna Why read this report in the era of big data, enterprise data warehouse (EDW) technology continues
The Inside Scoop on Hadoop Orion Gebremedhin National Solutions Director BI & Big Data, Neudesic LLC. VTSP Microsoft Corp. Orion.Gebremedhin@Neudesic.COM B-orgebr@Microsoft.com @OrionGM The Inside Scoop
EMC Federation Big Data Solutions 1 Introduction to data analytics Federation offering 2 Traditional Analytics! Traditional type of data analysis, sometimes called Business Intelligence! Type of analytics
For: Customer Insights Professionals The Forrester Wave : Cross-Channel Campaign Management, Q3 2014 by Jason McNellis, August 28, 2014 Key Takeaways The Cross-Channel Campaign Market Is Complex The campaign
Big Data Technologies Compared June 2014 Agenda What is Big Data Big Data Technology Comparison Summary Other Big Data Technologies Questions 2 What is Big Data by Example The SKA Telescope is a new development
January 27, 2012 The Forrester Wave : US Digital Agencies Mobile Marketing Strategy And Execution, Q1 2012 by Melissa Parrish for Interactive Marketing Professionals Making Leaders Successful Every Day
For: Infrastructure & Operations Professionals The Forrester Wave : Enterprise Backup And Recovery Software, Q2 2013 by Rachel A. Dines, June 28, 2013 KEY TAKEAWAYS Plagued By Age-Old Backup And Recovery
Please give me your feedback Session BB4089 Speaker Claude Lorenson, Ph. D and Wendy Harms Use the mobile app to complete a session survey 1. Access My schedule 2. Click on this session 3. Go to Rate &
Native Connectivity to Big Data Sources in MSTR 10 Bring All Relevant Data to Decision Makers Support for More Big Data Sources Optimized Access to Your Entire Big Data Ecosystem as If It Were a Single
July 15, 2013 The Enterprise Information Management Barbell Strengthens Your Information Value by Alan Weintraub with Leslie Owens and Emily Jedinak Why Read This Report Businesses increasingly rely on
NetQoS Offers An Experience Monitoring Solution For Global Performance Management The Forrester Wave Vendor Summary, Q2 2007 by Jean-Pierre Garbani with Thomas Mendel, Ph.D., and Reedwan Iqbal EXECUTIVE
Microsoft Big Data Solution Brief Contents Introduction... 2 The Microsoft Big Data Solution... 3 Key Benefits... 3 Immersive Insight, Wherever You Are... 3 Connecting with the World s Data... 3 Any Data,
For: Application Development & Delivery Professionals The Forrester Wave : Big Data Streaming Analytics Platforms, Q3 2014 by Mike Gualtieri and Rowan Curran, July 17, 2014 Key Takeaways Exploiting Perishable
VIEWPOINT High Performance Analytics Industry Context and Trends In the digital age of social media and connected devices, enterprises have a plethora of data that they can mine, to discover hidden correlations
For: Applications Development & Delivery Professionals The Forrester Wave : SaaS HR Management Systems, Q4 2014 by Paul D. Hamerman, October 1, 2014 Key Takeaways SaaS HRMS Is Growing Rapidly As A Migration
FOR: Interactive Marketing Professionals Win The Social Marketing Measurement Game by Nate Elliott, November 21, 2012 KEY TAKEAWAYS Avoid The Temptation To Oversimplify Your Metrics Blended single engagement
Collaborative Big Data Analytics 1 Big Data Is Less About Size, And More About Freedom TechCrunch!!!!!!!!! Total data: bigger than big data 451 Group Findings: Big Data Is More Extreme Than Volume Gartner!!!!!!!!!!!!!!!
GINeVRA Digital Research Hub Customized Report- Big Data 1 2014. All Rights Reserved. Agenda Context Challenges and opportunities Solutions Market Case studies Recommendations 2 2014. All Rights Reserved.
May 6, 2011 The Forrester Wave : Database Auditing And Real-Time Protection, Q2 2011 by Noel Yuhanna for Application Development & Delivery Professionals Making Leaders Successful Every Day May 6, 2011
G-Cloud Big Data Suite Powered by Pivotal December 2014 G-Cloud service definitions TABLE OF CONTENTS Service Overview... 3 Business Need... 6 Our Approach... 7 Service Management... 7 Vendor Accreditations/Awards...
Silver Peak Systems Provides The Most Scalable WAN Optimization Appliance The Forrester Wave Vendor Summary, Q3 2007 by Robert Whiteley with Simon Yates and Rachel Batiancila EXECUTIVE SUMMARY Silver Peak
INVESTOR PRESENTATION First Quarter 2014 Note to Investors Certain non-gaap financial information regarding operating results may be discussed during this presentation. Reconciliations of the differences
Datenverwaltung im Wandel - Building an Enterprise Data Hub with Cloudera Bernard Doering Regional Director, Central EMEA, Cloudera Cloudera Your Hadoop Experts Founded 2008, by former employees of Employees
September 9 11, 2013 Anaheim, California Extend your analytic capabilities with SAP Predictive Analysis Charles Gadalla Learning Points Advanced analytics strategy at SAP Simplifying predictive analytics
Proact whitepaper on Big Data Summary Big Data is not a definite term. Even if it sounds like just another buzz word, it manifests some interesting opportunities for organisations with the skill, resources
TECHNOLOGY TRANSFER PRESENTS MIKE FERGUSON BIG DATA MULTI-PLATFORM ANALYTICS JUNE 25-27, 2014 RESIDENZA DI RIPETTA - VIA DI RIPETTA, 231 ROME (ITALY) firstname.lastname@example.org www.technologytransfer.it
For: Application Development & Delivery professionals The Forrester Wave : Online Video Platforms, Q1 2013 by philipp Karcher, march 8, 2013 key TakeaWays Businesses use Video platforms To Manage Their
TECH CHOICES Allant: A Market Leader Among Database Marketing Service Providers The Forrester Wave Vendor Summary, Q1 2006 by Eric Schmitt with Chris Charron and Jennifer Joseph EXECUTIVE SUMMARY The Allant
For: Enterprise Architecture Professionals The Forrester Wave : Enterprise Architecture Service Providers, Q1 2015 by Henry Peyret and Gordon Barnett, March 19, 2015 Key Takeaways The EA Service Provider
Tap into Hadoop and Other No SQL Sources Presented by: Trishla Maru What is Big Data really? The Three Vs of Big Data According to Gartner Volume Volume Orders of magnitude bigger than conventional data
Architecting the Future of Big Data Whitepaper Apache Hadoop: The Big Data Refinery Introduction Big data has become an extremely popular term, due to the well-documented explosion in the amount of data
A Custom Technology Adoption Profile Commissioned By IBM February 2014 Big Data Ups The Customer Analytics Game Introduction In the age of the customer, enterprises invest in creating actionable customer
IBM InfoSphere Guardium Data Activity Monitor for Hadoop-based systems Proactively address regulatory compliance requirements and protect sensitive data in real time Highlights Monitor and audit data activity
Modern Data Architecture with Enterprise Apache Hadoop Hortonworks. We do Hadoop. Jeff Markham Technical Director, APAC email@example.com Page 1 Our Mission: Enable your Modern Data Architecture
For: Application Development & Delivery Professionals The Forrester Wave : Financial Performance Management, Q3 2013 by Paul D. Hamerman, September 11, 2013 Key Takeaways FPM Solutions Boost Forecasting
The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class
Modernizing Your Data Warehouse for Hadoop Big data. Small data. All data. Audie Wright, DW & Big Data Specialist Audie.Wright@Microsoft.com O 425-538-0044, C 303-324-2860 Unlock Insights on Any Data Taking
SAS BIG DATA SOLUTIONS ON AWS SAS FORUM ESPAÑA, OCTOBER 16 TH, 2014 IAN MEYERS SOLUTIONS ARCHITECT / AMAZON WEB SERVICES AWS GLOBAL INFRASTRUCTURE 10 Regions 25 Availability Zones 51 Edge locations WHAT
HDP Hadoop From concept to deployment. Ankur Gupta Senior Solutions Engineer Rackspace: Page 41 27 th Jan 2015 Where are you in your Hadoop Journey? A. Researching our options B. Currently evaluating some
For: CMOs The Forrester Wave : Innovation Agencies, Q4 2014 by Sarah Sikowitz, December 8, 2014 Key Takeaways SapientNitro, R/GA, And Frog Lead The Pack Forrester s research uncovered a market in which
Next-Generation Cloud Analytics with Amazon Redshift What s inside Introduction Why Amazon Redshift is Great for Analytics Cloud Data Warehousing Strategies for Relational Databases Analyzing Fast, Transactional
White Paper Bringing the Power of SAS to Hadoop Combine SAS World-Class Analytic Strength with Hadoop s Low-Cost, Distributed Data Storage to Uncover Hidden Opportunities Contents Introduction... 1 What
SAS and Hadoop Technology Overview SAS Documentation The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2015. SAS and Hadoop Technology: Overview. Cary, NC: SAS Institute
Big Data on Microsoft Platform Prepared by GJ Srinivas Corporate TEG - Microsoft Page 1 Contents 1. What is Big Data?...3 2. Characteristics of Big Data...3 3. Enter Hadoop...3 4. Microsoft Big Data Solutions...4
A Tour of the Zoo the Hadoop Ecosystem Prafulla Wani Technical Architect - Big Data Syntel Agenda Welcome to the Zoo! Evolution Timeline Traditional BI/DW Architecture Where Hadoop Fits In 2 Welcome to
Hadoop and Data Warehouse Friends, Enemies or Profiteers? What about Real Time? Kai Wähner firstname.lastname@example.org @KaiWaehner www.kai-waehner.de Disclaimer! These opinions are my own and do not necessarily
III Big Data Technologies Today, new technologies make it possible to realize value from Big Data. Big data technologies can replace highly customized, expensive legacy systems with a standard solution
For: Customer Insights Professionals The Forrester Wave : Cross-Channel Attribution Providers, Q4 2014 by Tina Moffett, November 7, 2014 Key Takeaways AOL/Convertro, Google, And Visual IQ Lead The Pack
Big Data and Data Science: Behind the Buzz Words Peggy Brinkmann, FCAS, MAAA Actuary Milliman, Inc. April 1, 2014 Contents Big data: from hype to value Deconstructing data science Managing big data Analyzing
Advanced In-Database Analytics Tallinn, Sept. 25th, 2012 Mikko-Pekka Bertling, BDM Greenplum EMEA 1 That sounds complicated? 2 Who can tell me how best to solve this 3 What are the main mathematical functions??
For: Customer Experience Professionals The Business Impact Of Customer Experience, 2014 by Maxie Schmidt-Subramanian, March 27, 2014 Key Takeaways Customer Experience Correlates To Loyalty Forrester once
Analysis from The Wikibon Project February 2012 Big Data Market Size and Vendor Revenues Jeff Kelly, David Vellante, David Floyer A Wikibon Reprint The Big Data market is on the verge of a rapid growth
BIG DATA: FROM HYPE TO REALITY Leandro Ruiz Presales Partner for C&LA Teradata Evolution in The Use of Information Action s ACTIVATING MAKE it happen! Insights OPERATIONALIZING WHAT IS happening now? PREDICTING
White Paper BIG DATA-AS-A-SERVICE What Big Data is about What service providers can do with Big Data What EMC can do to help EMC Solutions Group Abstract This white paper looks at what service providers
Analytics in the Cloud Peter Sirota, GM Elastic MapReduce Data-Driven Decision Making Data is the new raw material for any business on par with capital, people, and labor. What is Big Data? Terabytes of
PRODUCT ANALYSIS REPORT IBM COGNOS BUSINESS INTELLIGENCE DATA VISUALIZATION: When Data Speaks Business Jorge García, TEC Senior BI and Data Management Analyst Technology Evaluation Centers Contents About
Modern Data Architecture with Apache Hadoop Talend Big Data Presented by Hortonworks and Talend Executive Summary Apache Hadoop didn t disrupt the datacenter, the data did. Shortly after Corporate IT functions
Microsoft Analytics Platform System Solution Brief Contents 4 Introduction 4 Microsoft Analytics Platform System 5 Enterprise-ready Big Data 7 Next-generation performance at scale 10 Engineered for optimal
Big-Data and Hadoop Developer Training with Oracle WDP What is this course about? Big Data is a collection of large and complex data sets that cannot be processed using regular database management tools
Big Data Analytics 1 Priority Discussion Topics What are the most compelling business drivers behind big data analytics? Do you have or expect to have data scientists on your staff, and what will be their