Gartner Research

Critical Capabilities for Operational Database Management Systems

Published: 06 October 2016

ID: G00297359

Analyst(s): Terilyn Palanca , Rick Greenwald , Merv Adrian , Nick Heudecker , Donald Feinberg

Summary

New products for operational DBMS use cases are maturing, challenging data and analytics leaders to select the right technology. This research and companion Magic Quadrant report combine vendor capabilities and client implementation experience to identify products that meet requirements.

Table Of Contents

What You Need to Know

Analysis

  • Critical Capabilities Use-Case Graphics
  • Vendors
    • Actian
    • Amazon
    • Basho Technologies
    • Clustrix
    • Couchbase
    • DataStax
    • EnterpriseDB
    • Fujitsu
    • Google
    • IBM
    • InterSystems
    • MapR
    • MarkLogic
    • MemSQL
    • Microsoft
    • MongoDB
    • Neo Technology
    • NuoDB
    • Oracle
    • Redis Labs
    • SAP
  • Context
  • Product/Service Class Definition
  • Critical Capabilities Definitions
    • High-Speed Ingest and Processing
    • ACID Support
    • Tunable Consistency
    • Multimodel Support
    • Automated Data Distribution
    • Cloud/Hybrid Deployment
    • Programmability for HTAP
    • Security
    • Administration and Management
  • Use Cases
    • Traditional Transactions
    • Distributed Variable Data
    • Lightweight Events and Observations
    • Hybrid Transactional/Analytical Processing (HTAP)

Inclusion Criteria

  • Vendors Added and Dropped
    • Added
    • Dropped
  • Other Vendors to Consider
  • Other Changes
  • Critical Capabilities Rating

Gartner Recommended Reading

  • Gartner's Client Inquiry Service Data

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