Published: 20 January 2025
Summary
Data and analytics leaders looking for analytic data solutions find many choices to meet their needs. This report highlights key analytical use cases and an expanded assessment of lakehouse functionality to more comprehensively reflect the growing maturity of the lakehouse architecture.
Included in Full Research
Strategic Planning Assumptions
- Alibaba Cloud (AnalyticDB)
- Amazon Web Services (Amazon Redshift)
- Cloudera (Cloudera)
- Couchbase (Couchbase Capella)
- Databricks (Databricks Data Intelligence Platform)
- EDB (EDB Postgres AI)
- Google (Google BigQuery)
- Huawei Cloud (GaussDB [DWS])
- IBM (Db2 Warehouse as a Service)
- InterSystems (IRIS)
- Microsoft (Microsoft Fabric)
- Neo4j (AuraDB)
- Oracle (Autonomous Data Warehouse)
- Redis (Redis Cloud)
- SAP (SAP Datasphere)
- SingleStore (SingleStore Helios)
- Snowflake (Snowflake AI Data Cloud)
- Teradata (Teradata Vantage)
- Analyst Capabilities
- Application Developer Capabilities
- AI/Machine Learning and GenAI
- Data Engineering Capabilities
- Data Sharing
- Data Structure Support
- Distributed Analytics Capabilities
- Financial Governance
- Management, Admin and Security
- Multicloud/Intercloud/Hybrid
- Performance Features
- Workload Management & Optimization
- Enterprise Data Warehouse
- Lakehouse
- Event Analytics
Critical Capabilities Methodology