Critical Capabilities for Operational Database Management Systems

Archived Published: 12 February 2018 ID: G00318163

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The operational DBMS market offers cloud and fully managed options for current use cases, and will soon include features for machine learning, serverless operation and streaming integration. Data and analytics leaders must balance current and future needs against this market landscape.

Table of Contents

  • What You Need to Know
  • Analysis
    • Critical Capabilities Use-Case Graphics
    • Vendors
      • AWS DynamoDB
      • DataStax DSE
      • EDB Postgres
      • Google Cloud Spanner
      • IBM Db2
      • InterSystems Caché
      • MapR-DB
      • MarkLogic Server
      • Microsoft SQL Server
      • Oracle Database
      • SAP HANA
    • Context
    • Product/Service Class Definition
    • Critical Capabilities Definition
      • High-Speed Ingest and Processing
      • ACID Support
      • Tunable Consistency
      • Multimodel Support
      • Automated Data Distribution
      • Cloud/Hybrid Deployment
      • Programmability for HTAP
      • Administration and Management
      • Security
    • Use Cases
      • Traditional Transactions
      • Distributed Variable Data
      • Lightweight Events and Observations
      • Hybrid Transactional/Analytical Processing (HTAP)
    • Vendors Added and Dropped
      • Added
      • Dropped
      • Other Vendors to Consider
  • Inclusion Criteria
    • Critical Capabilities Rating
  • Gartner Recommended Reading
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