Published: 12 November 2026
Summary
Data and analytics leaders rely on cloud operational DBMSs to power next-generation AI-driven intelligent applications. This report highlights essential capabilities and evaluates core enterprise use cases ranging from OLTP and agentic AI workloads to multimodel consolidation and operational analytics.
Included in Full Research
- Alibaba Cloud
- Amazon Web Services (Amazon Aurora)
- Amazon Web Services (Amazon DynamoDB)
- Cockroach Labs
- Couchbase
- Databricks
- EDB
- Google (AlloyDB)
- Google (Spanner)
- Huawei Cloud
- IBM
- InterSystems
- Microsoft (Azure Cosmos DB)
- Microsoft (Azure SQL)
- MongoDB
- Oracle
- Redis
- SAP
- SingleStore
- Snowflake
- Tencent Cloud
- Yugabyte
- Developer Productivity
- AI/ML Capabilities
- Distributed Transactions Support
- Financial Predictability
- Management, Admin and Security
- Performance Predictability
- JSON and Multimodel Support
- Data Governance
- Mission-Critical Operations
- Hybrid/Multicloud Flexibility
- OLTP Transactions
- Agentic AI Operations
- NoSQL Flexibility
- Operational Analytics
Critical Capabilities Methodology