Updated May 13, 2026 · Independent Analysis

★ 4.5/5-0.1 vs PostgreSQL
Only in Databricks
- ✦ Delta Lake (Open Table Format)
- ✦ Apache Spark
- ✦ MLflow (ML Tracking)
10k+ users · est. 2013

★ 4.6/5+0.1 vs Databricks
Only in PostgreSQL
- ✦ ACID Transactions
- ✦ Advanced SQL
- ✦ JSON/JSONB Support
✓ Free planMost popular users · est. 1996
Pricing Intelligence

Databricks Plans
Paid plans only
- • From $0.07/DBU
- • Delta Lake
- • Collaborative notebooks
- • RBAC
- • Audit logs
- • Delta Sharing
- • Full platform
- • Dedicated support
- • Custom contracts
Full Databricks Pricing Breakdown →Feature Matrix
2 differences found across 10 standardized features
Feature
Databricks
PostgreSQL
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
Pros
- +Lakehouse architecture eliminates ETL between data lake and warehouse
- +MLflow is the de-facto ML experiment tracking standard
- +Unity Catalog provides unified governance across data and AI
- +Delta Lake open format avoids vendor lock-in
Cons
- −Steep learning curve — significant investment to operationalize
- −DBU pricing can be difficult to forecast
Pros
- +#1 most-loved database — massive community and ecosystem
- +Rich extensions (pgvector, PostGIS, TimescaleDB)
- +Zero licensing cost with enterprise-grade features
- +Available managed on all major clouds
Cons
- −Horizontal write scaling requires external solutions (Citus)
- −Large cluster operations require database expertise
At a Glance
Starting PriceContactvsPay-per-use
Feature Count16 featuresvs16 features
Frequently Asked Questions