TechValidate Survey Report. Converged Data Platform Key to Competitive Advantage

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1 TechValidate Survey Report Converged Data Platform Key to Competitive Advantage

2 TechValidate Survey Report Converged Data Platform Key to Competitive Advantage Executive Summary What Industry Analysts Clients praise MapR for its enterprise-readiness, high availability, and cluster management. MapR has continued to enhance these capabilities with the addition of authorization and auditing features. Gartner 2016 Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics We re in the midst of a dramatic shift in data architecture. Leading businesses are undergoing a digital transformation and creating a first-mover advantage. Companies worldwide are moving away from legacy systems toward modern, next-gen systems. The reason for this shift? Gaining a competitive advantage has never been more important, and organizations are turning to real-time analytics for help. They re achieving unparalleled value by converging analytics with operational processes. This is uniquely supported by the MapR Converged Data Platform, which includes all of the leading big data technologies on one platform Hadoop, Spark, Apache Drill, Streaming, SQL-on-Hadoop, and NoSQL. Designed specifically to support these next-gen applications that can simultaneously process both operational and analytical data, this converged data architecture leads to greater responsiveness, better decisions, less complexity, lower cost, and lower risk. This ultimately enables organizations to support their digital transformation to create sustained competitive advantage. TechValidate surveyed MapR customers in roles associated with choosing, implementing, and maintaining a big data platform. The survey validates several trends that we re seeing in the marketplace: 1) Organizations are able to develop new, next-gen applications to generate new revenue streams using the MapR Platform, especially in the area of IoT. 2) MapR is primarily used for advanced data analytics (real-time, predictive, clickstream, log, machine learning), next-gen application development, offloading data from legacy systems, and as a data lake. 3) By deploying the MapR Platform, companies can dramatically decrease TCO while increasing ROI. MapR Impacts the Business How has your MapR solution helped your business? Enables us to manage more data, faster with the same amount of staff and infrastructure The data platform easily and cost-effectively scales with our business Significantly reduces the data-to-decision cycle Provides us a significant competitive advantage Allows us to serve our customers faster Enables new streams of revenue 83% 69% 60% 51% 51% 40% Other 6% Source: TechValidate survey of 35 users of the MapR Platform. Sample comprised of IT organizations who indicated that MapR allows them to enable new applications not possible with current technologies. Published: Aug. 9, 2016 TVID: 605-3B0-1F9

3 In the past, if we received a feed with 20 million lab records, it would take 22 hours to process that data. The NFS capabilities of the MapR Platform can cut that cycle time down from 22 hours to 20 minutes and it s running on much less hardware. MapR Impacts the Business in Powerful Ways MapR Enables Innovative Application Development That Generate New Revenue Streams: The MapR Converged Data Platform enables customers to lower IT costs by unifying data into a single platform and simultaneously drive innovative applications to generate new revenue streams. The MapR Platform supports rapid application development for big data and allows for code reuse across batch, interactive, and streaming applications. 40% of respondents who indicated that MapR allows them to enable new applications not possible with current technologies said MapR enables new streams of revenue. MapR Helps Companies Increase ROI, Lower TCO The MapR Platform dramatically lowers TCO and enables global real-time data applications. 80% of respondents said that MapR provides a scalable platform to grow their business, while 59% said it lowers the cost of hardware, software and resources, and 56% said MapR helps them consolidate and integrate data silos. See the MapR TCO Calculator (mapr.com/tco) to estimate costs across a number of variables. Dan Blake, Chief Technology Officer, Valence Health How is your MapR solution solving your technical challenges? Provides a scalable platform to grow the business 80% Lowers the cost of hardware, software, and resources while the data volume expands 59% Consolidates and integrates silos of data 56% Source: TechValidate survey of 66 users of the MapR Platform. Published: Aug. 10, 2016 TVID: FAA-A16-00B With MapR, we see a 3X performance increase running the same data and the same code the jobs just run faster. FAST FACT IDC, an independent research firm, recently interviewed a number of organizations using the MapR Converged Data Platform for a White Paper, sponsored by MapR. Results of the third-party research concluded on average that MapR customers will earn a three-year return on investment (ROI) of 382% and generate $26.6 million annually on average over three years in incremental revenue. Cost comparison for a 500 TB cluster vs HDFS-based data platforms Mike Brown, CTO of comscore

4 The requirement that really tipped the balance in favor of MapR was multi-tenancy. As each customer has its own space on the Harte Hanks platform, with each needing to be able to scale up or down individually according to demand, the ability to accommodate this cost-effectively was something that MapR was able to demonstrate early on. Donna Belanger, Head of Partner Tools, Harte Hanks MapR Helps Businesses in Many Ways Organizations can manage more data, faster and scale as their business expands: 73% of MapR users surveyed said that MapR enables them to manage more data, faster. 57% of respondents said the MapR Platform easily and cost-effectively scales as their business grows. How has your MapR solution helped your business? Enables us to manage more data, faster with the same amount of staff and infrastructure The data platform easily and cost-effectively scales with our business Significantly reduces the data-to-decision cycle 46% The Reasons Organizations Choose MapR 57% Source: TechValidate survey of 67 users of the MapR Platform. Published: Aug. 10, 2016 TVID: DE C 73% High Availability: MapR was designed to have no single point of failure. By distributing filesystem metadata, MapR achieves a no-namenode architecture, eliminating one of the most frustrating failure modes in data platforms which rely on the Hadoop distributed file system (HDFS) and providing both scale and performance advantages. 73% of organizations chose MapR due to high availability (HA) features. In addition, 64% of respondents selected MapR due to ease of data integrations, while 59% selected MapR due to faster performance. Another common reason that organizations choose MapR is that it gives them the ability to deploy new apps and create new revenue streams. Ease of Data Integration: 64% of companies chose MapR over the competition due to its ease of integrating data and application development, open APIs (HDFS, Apache HBase, OJAI, SQL, and Apache Kafka) and NFS access. Faster Performance: 59% of respondents chose MapR because of its faster performance. Multi-Tenancy: 53% of survey respondents said they chose MapR due to its multi-tenancy capabilities. Which were the key reasons your organization selected MapR? High availability features (e.g., No-NameNode architecture, rolling upgrades) Ease of data integration (e.g., open APIs and NFS access) Faster performance Multi-tenancy (e.g., volumes, data placement control, resource management) 73% 64% 59% 53% Source: TechValidate survey of 66 users of the MapR Platform. Published: Aug. 10, 2016 TVID: 0F B0

5 We view MapR as an ideal partner that fits our focus on providing real-time solutions for a streaming database. With impressive scaling and performance, the MapR Platform helps us offer an even more powerful and unique solution in the market for real-time applications. This really is a new era for us. Kamlesh Patel, CEO, CellOS Software Top Use Cases The top use cases which customers use MapR for are 1) Advanced Analytics, 2) Data Lake/Data Hub, and 3) Legacy Offload. However, one use case that is rapidly rising through the ranks is the Internet of Things, with 28% of respondents saying they plan to use MapR for IoT. Select the use cases for which you use or plan to use MapR. Advanced Analytics (real-time, predictive, clickstream, log, machine learning) Data Lake/ Data Hub Legacy Offload (e.g., mainframe, data warehouse optimization) Sales and Marketing (recommendation engine, customer 360, sentiment analysis, ad targeting Internet of Things Application Security Analytics, Fraud Detection, Risk Management Operations (IT, preventative maintenance, logistics, yield optimization) 18% 28% 28% 46% 44% 87% 82% SaaS and Application Hosting 15% Source: TechValidate survey of 39 users of the MapR Platform. Sample comprised of IT organizations who selected lower the cost of hardware, software and resources while the data volume expands. Published: Aug. 9, 2016 TVID: 62A-0DB-0FC Conclusion The benefits of having a single unified cluster to handle both data at rest and data in motion are many. As the TechValidate data shows, customers benefit greatly from MapR s ability to provide streaming, operational, and analytical use cases, all on a single, converged data platform. That s especially true in the context of next-generation applications, such as those that are built on event-based microservices.* Whether you call it the as-it-happens business, operational agility, or the algorithmic business, it s all about accelerating the data-to-action cycle. If you re looking to gain both a competitive advantage and long-term value from your data, choose a converged data platform that provides you with speed, scale, and agility. *Since the release of the TechValidate survey results, the MapR Converged Data Platform has recently been updated to provide microservices application monitoring and management. MapR and the MapR logo are registered trademarks of MapR and its subsidiaries in the United States and other countries. Other marks and brands may be claimed as the property of others. The product plans, specifications, and descriptions herein are provided for information only and subject to change without notice, and are provided without warranty of any kind, express or implied. Copyright 2016 MapR Technologies, Inc. 14TV1116