Critical Capabilities for Operational Database Management Systems

Archived Published: 06 October 2016 ID: G00297359

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New products for operational DBMS use cases are maturing, challenging data and analytics leaders to select the right technology. This research and companion Magic Quadrant report combine vendor capabilities and client implementation experience to identify products that meet requirements.

Table of Contents

  • What You Need to Know
  • Analysis
    • Critical Capabilities Use-Case Graphics
    • Vendors
      • Actian
      • Amazon
      • Basho Technologies
      • Clustrix
      • Couchbase
      • DataStax
      • EnterpriseDB
      • Fujitsu
      • Google
      • IBM
      • InterSystems
      • MapR
      • MarkLogic
      • MemSQL
      • Microsoft
      • MongoDB
      • Neo Technology
      • NuoDB
      • Oracle
      • Redis Labs
      • SAP
    • Context
    • Product/Service Class Definition
    • Critical Capabilities Definitions
      • High-Speed Ingest and Processing
      • ACID Support
      • Tunable Consistency
      • Multimodel Support
      • Automated Data Distribution
      • Cloud/Hybrid Deployment
      • Programmability for HTAP
      • Security
      • Administration and Management
    • Use Cases
      • Traditional Transactions
      • Distributed Variable Data
      • Lightweight Events and Observations
      • Hybrid Transactional/Analytical Processing (HTAP)
  • Inclusion Criteria
    • Vendors Added and Dropped
      • Added
      • Dropped
    • Other Vendors to Consider
    • Other Changes
    • Critical Capabilities Rating
  • Gartner Recommended Reading
© 2016 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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