Databricks
Lakehouse platform unifying data engineering, analytics and machine learning on open formats.
Overview
Databricks is the strongest platform when data engineering and machine learning matter as much as SQL analytics. It demands more platform expertise than a warehouse and rewards it with control and open storage.
Scored criteria
Query performance
4.5
Cost predictability
3.5
Governance
4.4
ML workflows
4.9
Ease of operation
3.6
Value for money
4.0
Strengths
- Best unified platform for data and machine learning
- Open table formats limit lock-in
- Mature experiment tracking and model serving
Limitations
- Requires genuine platform expertise
- SQL analyst experience trails dedicated warehouses
- Cluster configuration affects cost significantly
Features
Delta Lake open storageUnity Catalog governanceNotebooks and collaborative developmentMLflow experiment trackingStreaming and batch pipelinesModel serving
Verdict
The right platform when machine learning is a first-class workload rather than an afterthought.
Compare Databricks
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