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Apache Paimon vs Databricks SQL

Apache Paimon: Streaming lakehouse table format with LSM-based upserts and changelogs, born in Apache Flink. Databricks SQL: Serverless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine.

key differences

  • Licensing: Apache Paimon is open source (permissive) (Apache License 2.0); Databricks SQL is proprietary (Proprietary).
  • Only Apache Paimon has branching.
  • Only Databricks SQL has joins, vector search, geospatial, json, materialized views.
  • Databricks SQL has a serverless option; Apache Paimon does not.
  • Apache Paimon can run embedded in your application process.

choose apache-paimon for

  • +Streaming CDC from databases into the lake
  • +Real-time lakehouse with Flink
  • +Incremental ETL with changelogs
  • +Partial-update wide tables

best at · Lakehouse, Streaming, Real-time analytics

choose databricks-sql for

  • +Lakehouse SQL and BI on Delta Lake
  • +Consolidating a separate warehouse into Databricks
  • +dbt transformations on the lakehouse
  • +Serving features and aggregates for ML

best at · Lakehouse, Warehouse, OLAP

Apache PaimonStreaming lakehouse table format with LSM-based upserts and changelogs, born in Apache Flink.
Databricks SQLServerless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine.
overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational
Relational, Document, Vector, Spatial
Type
Embedded library
Managed service
Status
Active
Active
Developer
Apache Software Foundation
Databricks
First release
2023
2020
Latest version
2.1.0 (Oct 12, 2026)
–
License
Open source (permissive)Apache License 2.0
ProprietaryProprietary
Free tier
✓
✓
popularity
WhichDB Score
14.2
20.8
Rank
#237
#147
GitHub stars
3.4K
–
Stack Overflow questions
–
543
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Flexible
Architecture
Distributed, Shared storage
Serverless, Distributed, Shared storage
deployment
Self-hosted
✓
—
Vendor-managed cloud
—
✓
Serverless
—
✓
Embedded
✓
—
Edge
—
—
Clouds
–
AWS, Azure, Google Cloud
capabilities
Transactions
✓
✓
Joins
—
✓
Secondary indexes
—
—
Full-text search
—
—
Vector search
—
✓
Geospatial
—
✓
JSON
—
✓
Change data capture
✓
✓
Triggers
—
—
Stored procedures
—
—
Materialized views
—
✓
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
✓
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
✓
Role-based access
—
✓
Time travel
✓
✓
Branching
✓
—
Online schema changes
—
✓
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL (via Flink, Spark, Trino, StarRocks, Doris)
SQL (Databricks SQL / ANSI), Python
Client languages
Java, Python
Python, Java, JavaScript, Go, .NET
Best for
Lakehouse, Streaming, Real-time analytics
Lakehouse, Warehouse, OLAP
Add more to this comparisonNot sure either fits? Try smart match

Apache Paimon vs Databricks SQL: FAQ

What is the difference between Apache Paimon and Databricks SQL?

Apache Paimon: Streaming lakehouse table format with LSM-based upserts and changelogs, born in Apache Flink. Databricks SQL: Serverless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine. Licensing: Apache Paimon is open source (permissive) (Apache License 2.0); Databricks SQL is proprietary (Proprietary). Only Apache Paimon has branching. Only Databricks SQL has joins, vector search, geospatial, json, materialized views.

When should I choose Apache Paimon over Databricks SQL?

Choose Apache Paimon for streaming CDC from databases into the lake, real-time lakehouse with Flink and incremental ETL with changelogs. Choose Databricks SQL for lakehouse SQL and BI on Delta Lake; consolidating a separate warehouse into Databricks; and dbt transformations on the lakehouse.

Is Apache Paimon or Databricks SQL more popular?

Databricks SQL ranks #147 on the WhichDB Score (20.8/100) and Apache Paimon ranks #237 (14.2/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Paimon and Databricks SQL open source?

Yes. Apache Paimon is open source. License: Apache License 2.0. No. Databricks SQL is proprietary, closed-source software.