| | April 20176CIOReviewThe variety, velocity, and volume of data continue to push enterprises toward complex data management challenges--from data security issues, to the need for real-time information, integration of structured and unstructured data, new application requirements, and limitations of earlier generation database systems. To keep up with the industry-changing trends such as mobility, cloud, social, and big data, enterprises require scalable, high-performance, secure and agile database systems. Choosing a proper Database Management System (DBMS) that ameliorate these challenges can prove critical in maintaining business competitiveness and growth. There are different forms and types of DBMSs available in the market today, and each comes with their own strengths and weaknesses. Relational Database Management System (RDBMS) is an undisputed leader in terms of revenue and installed base and finds its application across data storage, access and protection. However, due to its rigidly defined schema, web-scale data processing and big data requirements challenge the capabilities of RDBMSs. This is where NoSQL DBMS comes into the picture with its flexible schemas, less rigid consistency models and reduced processing overhead, which is a more practical solution in a rapidly changing and dynamic environment such as big data analytics. Another major category of DBMS is in-memory DBMS (IMDBMS) which relies mostly on solid-state memory to store data, as opposed to disk-based storage, and it's readily being implemented by organizations to roll out real-time analytics and to support extreme transactions. Further, the market is witnessing an unlikely combination in the form of RDBMS and Hadoop. RDBMS is the ideal option for querying loads of structured and semi-structured data generated by organizations. Couple this data base system with Hadoop clusters known for its linear scalability of data storage and computing, and the result is an economical and robust big data analytics environment. And then, there is Database-as-a-service (DBaaS) trend, a new and emerging public cloud database service that helps Enterprise Architecture (EA) professionals and developers adopt an agile application development strategy for faster time-to-market. The explosion in database types has made the market a dynamic and complex one to navigate. In this scenario, our goal with this special edition is to highlight companies that offer best-of-breed database solutions and help in your transition toward an agile enterprise database management strategy. This edition blends thought leadership from subject matter experts with real stories on what selected vendors are doing for their clients, including exclusive insights from CIOs and CXOs. Send us your thoughts.Jeevan George Managing Editoreditor@cioreview.comCopyright © 2017 ValleyMedia Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.CIOReviewAPRIL - 27 - 2017Mailing AddressCIOReview44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T:510.402.1463, F:510-894-8405 APRIL - 27 - 2017, Vol 06 SE 46 Published by ValleyMedia Inc.To subscribe to CIOReviewVisit www.cioreview.com DATABASE SPECIALCIOReviewEditorial StaffSalesT: 510.996.5126 Jason Thomas Kathy ArnoldShashikanth PeetlaSarah FernandezVivian MurrayJessica Stanleyjessica@cioreview.comVisualizersHenry MillerRenukesh GangurManaging EditorJeevan GeorgeEditorialEmpowering Enterprises Navigate Data DelugeAaron Pierce
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