Gartner Research

Critical Capabilities for Operational Database Management Systems

Published: 09 December 2015

ID: G00274559

Analyst(s): Merv Adrian, Donald Feinberg, Nick Heudecker, Terilyn Palanca, Adam Ronthal

Summary

The explosion of viable alternatives for existing and new operational DBMS use cases challenges information leaders to select the right technology. Used with the companion Magic Quadrant report, this research combines vendor capabilities and client implementation experience to provide guidance.

Table Of Contents

What You Need to Know

Analysis

  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Amazon Web Services DynamoDB
    • Basho Technologies Riak KV
    • Couchbase Server
    • DataStax Enterprise
    • EnterpriseDB Postgres Plus Advanced Server
    • FairCom c-treeACE
    • IBM DB2
    • InterSystems Caché
    • MariaDB Enterprise
    • MarkLogic Server
    • Microsoft SQL Server
    • MongoDB
    • Neo Technology Neo4j
    • NuoDB
    • Oracle Database
    • Percona Server
    • Redis Labs Enterprise Cluster
    • SAP Hana
    • TmaxSoft Tibero
    • VoltDB
  • Context
  • Market Overview
  • Product/Service Class Definition
  • Critical Capabilities Definition
    • High-Speed, High-Volume Processing
    • Automated Data Distribution
    • Multiple Data Types/Structures
    • Tunable Consistency
    • Continuous High-Speed Ingest
    • Cloud/Hybrid Deployment
    • ACID Support
    • Programmability for HTAP
    • Administration and Management
  • Use Cases
    • Traditional Transactions
    • Distributed Variable Data
    • Lightweight Events and Observations
    • Hybrid Transaction/Analytical Processing (HTAP)

Inclusion Criteria

  • Critical Capabilities Rating

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