Gartner Research

Critical Capabilities for Operational Database Management Systems


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

Published: 25 November 2019

ID: G00377041

Analyst(s): Donald Feinberg Merv Adrian Henry Cook

Table Of Contents

What You Need to Know


  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Alibaba Cloud (AliSQL)
    • AWS (Amazon DynamoDB)
    • DataStax (DSE)
    • EnterpriseDB (EDB Advanced Server)
    • Google (Cloud Spanner)
    • IBM (Db2)
    • InterSystems (IRIS)
    • MarkLogic
    • Microsoft (SQL Server)
    • Neo4j
    • Oracle (Oracle Database)
    • SAP (SAP HANA)
  • Context
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • Cloud/Hybrid Deployment
    • High Availability
    • Consistency
    • Security
    • Continuous High-Speed Ingest
    • High-Speed, High-Volume Processing
    • Administration and Management
    • Automated Data Distribution
    • Multiple Data Types/Structures
    • Programming Augmented Transactions
  • Use Cases
    • Traditional Transactions
    • Distributed Variable Data
    • Event Processing/Data in Motion
    • Augmented Transactions
  • Vendors Added and Dropped
    • Added
    • Dropped
    • Other Vendors to Consider

Inclusion Criteria

  • Critical Capabilities Rating

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