Critical Capabilities for Operational Database Management Systems


Published: 23 October 2018 ID: G00353669

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Summary

The operational DBMS market offers both relational and nonrelational DBMSs deployed on-premises and in the cloud, and will soon include features for machine learning, serverless operation and streaming integration. Data and analytics leaders must balance their needs against this market landscape.

Table of Contents

  • What You Need to Know
  • Analysis
    • Critical Capabilities Use-Case Graphics
    • Vendors
      • Actian (Actian X)
      • Alibaba Cloud (AliSQL)
      • AWS (Amazon DynamoDB)
      • DataStax (DSE)
      • EnterpriseDB (EDB Advanced Server)
      • Google (Cloud Spanner)
      • IBM (Db2)
      • InterSystems (Caché)
      • MapR
      • MarkLogic
      • Microsoft (SQL Server)
      • MongoDB
      • Oracle (Oracle Database)
      • SAP (SAP HANA)
    • Context
    • Product/Service Class Definition
    • Critical Capabilities Definition
      • Continuous High-Speed Ingest
      • High-Speed, High-Volume Processing
      • Consistency
      • Multiple Data Types/Structures
      • Automated Data Distribution
      • Cloud/Hybrid Deployment
      • Programmability for HTAP
      • Administration and Management
      • Security
      • High Availability
    • Use Cases
      • Traditional Transactions
      • Distributed Variable Data
      • Event Processing/Data in Motion
      • Operational & Analytics Convergence
    • Vendors Added and Dropped
      • Added
      • Dropped
      • Other Vendors to Consider
  • Inclusion Criteria
    • Critical Capabilities Rating
  • Gartner Recommended Reading
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