Gartner Research

Critical Capabilities for Cloud Database Management Systems for Operational Use Cases

Summary

Two Critical Capabilities reports provide context for data and analytics leaders into the Magic Quadrant for Cloud DBMSs. Operational use cases for relational and nonrelational cloud DBMSs require features for augmented operations via machine learning, multicloud scenarios and effective financial governance.

Published: 24 November 2020

ID: G00468197

Analyst(s): Merv Adrian Donald Feinberg Rick Greenwald Adam Ronthal Henry Cook

Table Of Contents

Overview

What You Need to Know

Analysis

  • Alibaba Cloud (ApsaraDB for PolarDB)
  • Amazon Web Services (Amazon Aurora)
  • Google (Cloud Spanner)
  • Huawei (GaussDB for MySQL)
  • IBM (Db2 on Cloud)
  • InterSystems (IRIS)
  • MarkLogic (Data Hub Service)
  • Microsoft (Azure SQL Database)
  • Oracle (ATP)
  • Redis Labs (Enterprise Cloud)
  • SAP (HANA Cloud)
  • Tencent (TencentDB for MySQL)
  • Advanced Analytics
  • Automated Perf Tuning/Optimization
  • Consistency
  • Dynamic Elasticity (Scalable Perf)
  • Financial Governance
  • High-Speed Ingest
  • High-Speed, High-Volume Processing
  • Multi/Intercloud/Hybrid Deployment
  • Multiple Data Types/Structures
  • Performance Monitoring and Admin
  • Programming Augmented Transactions
  • Security
  • Workload Management
  • Traditional Transactions
  • Augmented Transactions Processing
  • Stream/Event Processing
  • Operational Intelligence

Inclusion Criteria

Gartner Recommended Reading

Critical Capabilities Methodology

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