vs

DuckDB vs Sail

DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. Sail: Rust-native, Spark Connect-compatible engine for SQL, DataFrame and streaming jobs without the JVM.

key differences

  • DuckDB is primarily a columnar / OLAP database; Sail is relational.
  • Sail is built for larger datasets (≤ 1 PB) than DuckDB (≤ 10 TB).
  • Horizontal scaling is none in DuckDB and native in Sail.
  • Transactions: DuckDB offers full ACID; Sail offers limited.
  • Only DuckDB has transactions, secondary indexes, full-text search, vector search, geospatial.
  • Only Sail has streaming ingest.
  • DuckDB can run embedded in your application process.

choose duckdb for

  • +Local data analysis in notebooks
  • +ETL and data-engineering pipelines on files
  • +Embedded analytics inside applications
  • +Querying data lakes on S3 without a cluster

best at · OLAP, Embedded, Lakehouse

choose sail for

  • +Cutting cost of PySpark ETL
  • +Local Spark development without a JVM
  • +Lakehouse batch jobs on Delta/Iceberg

best at · Lakehouse, OLAP, Streaming

overview
Primary model
Columnar / OLAP
Relational
Also supports
Relational, Document, Spatial, Vector
Columnar / OLAP
Type
Database engine
Database engine
Status
Active
Active
Developer
DuckDB Foundation / DuckDB Labs
LakeSail
First release
2019
2024
Latest version
2.0.0 (Oct 21, 2026)
0.7.2 (Sep 29, 2026)
License
Open source (permissive)MIT License
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
63.7
14.5
Rank
#13
#231
GitHub stars
42.6K
3.5K
Stack Overflow questions
501
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
None
Native
Multi-region
None
None
ACID
Full
Limited
Consistency
Strong
Strong
Schema
Strict
Flexible
Architecture
Embedded, Single node, In memory
Distributed, Single node, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
✓
—
Edge
—
—
Clouds
–
–
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 (PostgreSQL-like dialect)
Spark SQL, Python (PySpark DataFrame API)
Client languages
Python, R, Java, JavaScript, Go, Rust, C, Swift
Python, Scala, Java, Go, Rust
Best for
OLAP, Embedded, Lakehouse, Warehouse
Lakehouse, OLAP, Streaming

DuckDB vs Sail: FAQ

What is the difference between DuckDB and Sail?

DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. Sail: Rust-native, Spark Connect-compatible engine for SQL, DataFrame and streaming jobs without the JVM. DuckDB is primarily a columnar / OLAP database; Sail is relational. Sail is built for larger datasets (≤ 1 PB) than DuckDB (≤ 10 TB). Horizontal scaling is none in DuckDB and native in Sail.

When should I choose DuckDB over Sail?

Choose DuckDB for local data analysis in notebooks; ETL and data-engineering pipelines on files; and embedded analytics inside applications. Choose Sail for cutting cost of PySpark ETL, local Spark development without a JVM and lakehouse batch jobs on Delta/Iceberg.

Is DuckDB or Sail more popular?

DuckDB ranks #13 on the WhichDB Score (63.7/100) and Sail ranks #231 (14.5/100). Popularity is not fit: check the requirements that matter for your project.

Are DuckDB and Sail open source?

Yes. DuckDB is open source. License: MIT License. Yes. Sail is open source. License: Apache License 2.0.