Published: 19 November 2025
Summary
Data and analytics leaders are seeking cloud analytics databases to address the new demands for modern analytics, including AI and data science, alongside traditional analytics. This report showcases the capabilities of cloud analytics databases and reviews use cases, including enterprise data warehouse, lakehouse and event analytics.
Included in Full Research
Strategic Planning Assumptions
- Alibaba Cloud (AnalyticDB)
- Amazon Web Services (Amazon Redshift)
- Cloudera (Cloudera)
- Couchbase (Capella)
- Databricks (Data Intelligence Platform)
- EDB (EDB Postgres AI)
- Google (BigQuery)
- Huawei Cloud (DWS)
- IBM (watsonx.data)
- InterSystems (IRIS)
- Microsoft (Fabric)
- Neo4j (AuraDB)
- Oracle (Autonomous AI Lakehouse)
- SAP (Datasphere)
- SingleStore (Helios)
- Snowflake (Snowflake AI Data Cloud)
- Teradata (VantageCloud)
- Analyst Capabilities
- Application Developer Capabilities
- AI/Machine Learning and GenAI
- Data Engineering Capabilities
- Data Sharing
- Data Structure Support
- Distributed Analytics Capabilities
- Financial Predictability
- Management, Admin and Security
- Multicloud/Intercloud/Hybrid
- Performance Predictability
- Workload Management & Optimization
- Enterprise Data Warehouse
- Lakehouse
- Event Analytics
Critical Capabilities Methodology