Gartner Research

Critical Capabilities for Operational Database Management Systems

Published: 25 November 2019

ID: G00377041

Analyst(s): Donald Feinberg, Merv Adrian, Henry Cook

Summary

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.

Table Of Contents

What You Need to Know

Analysis

  • 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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