Gartner Research

Critical Capabilities for Cloud Database Management Systems for Operational Use Cases

Published: 14 December 2022


Data and analytics leaders can use this research to plan against their operational use cases for relational and nonrelational cloud DBMSs, which increasingly require features for augmented operations via machine learning, multicloud scenarios and effective financial governance to achieve leadership.

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Key Findings
  • Nonrelational offerings, now approaching 19% of overall database management system (DBMS) revenue, are demonstrably suitable for many operational use cases. This year’s research adds two graph DBMS vendors, whose scores reflect their narrowly focused capabilities. But where graph is a key dimension, they are strong candidates and deserve consideration.

  • Lightweight transactions have become a significant market driver. These are operational workloads which may or may not require ACID consistency, may have different performance requirements but higher scalability needs for concurrent transactions, and often must provide more support for augmented transactions.

  • Smaller vendors are achieving significant success. The percentage of

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  • Alibaba Cloud (PolarDB)
  • Amazon Web Services (Amazon Aurora)
  • Cloudera (Cloudera Data Platform)
  • Cockroach Labs (CockroachDB)
  • Couchbase (Couchbase Capella)
  • Google (Google Cloud Spanner)
  • IBM (IBM Db2 on Cloud)
  • InterSystems (InterSystems IRIS)
  • MarkLogic (MarkLogic Data Hub)
  • Microsoft (Azure SQL Database)
  • MongoDB (MongoDB Atlas)
  • Neo4j (AuraDB)
  • Oracle (Autonomous Transaction Processing)
  • Redis (Redis Enterprise Cloud)
  • SAP (SAP HANA Cloud)
  • Tencent Cloud (TDSQL)
  • TigerGraph (TigerGraph Cloud)
  • Financial Governance
  • Resource Usage
  • Performance Features
  • Application Development Support
  • Management and Administration
  • Transactional Consistency
  • Programming Augmented Transactions
  • Streaming Optimization
  • Multicloud/Intercloud/Hybrid
  • Distributed Transactions
  • Automated Performance Tuning
  • OLTP Transactions
  • Lightweight Transactions
  • Augmented Transactions
  • Stream Event Processing

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Critical Capabilities: A deeper look into provider offerings

How does a Critical Capabilities report work?

As a companion to the Magic Quadrant™, a Critical Capabilities report scores competing products and services against a set of meaningful differentiators. It reveals which options are the best fit in various use cases to help you focus on the vendors best suited to your needs.

A Critical Capabilities report is more than just a diagram. You also get:

Sharper focus

Narrow down the product and service criteria most important to you.

Individualized use cases

Use interactive features to customize usage scenarios based on your organization’s unique needs.

Faster decision making

Use data to speed up provider selection and accelerate the procurement process.

A Gartner Critical Capabilities report is just one of our many offerings.

We provide actionable, objective insight to help organizations make smarter, faster technology decisions to stay ahead of disruption and accelerate growth.

Pick the right provider with confidence

We use a Critical Capabilities report, the Magic Quadrant and more to ensure you select the best-fit provider to avoid the costly repercussions of a poor decision.

Align deal structures and optimize spend

We benchmark pricing against the market so you avoid unnecessary charges.

Reduce complexity and risk

We analyze contract terms and conditions to protect you against future price increases and unanticipated costs.

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