vs

LanceDB vs sqlite-vec

LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data. sqlite-vec: Dependency-free SQLite extension for vector search that runs anywhere SQLite does, including WASM.

key differences

  • LanceDB is built for larger datasets (≤ 1 PB) than sqlite-vec (≤ 100 GB).
  • Horizontal scaling is native in LanceDB and none in sqlite-vec.
  • Transactions: LanceDB offers limited ACID; sqlite-vec offers full.
  • Only LanceDB has columnar storage, compression, time travel, online schema changes.
  • Only sqlite-vec has transactions, joins, json, triggers, in-memory.
  • LanceDB has a serverless option; sqlite-vec does not.

choose lancedb for

  • +Embedded RAG in desktop, CLI and agent apps
  • +Multimodal datasets shared by training and retrieval
  • +Agent memory stores
  • +Serverless vector search over S3

best at · Vector search, RAG, Embedded

choose sqlite-vec for

  • +On-device RAG in desktop and mobile apps
  • +Local-first semantic search
  • +Browser-based vector search via WASM
  • +Small server apps already on SQLite or libSQL

best at · Vector search, RAG, Embedded

overview
Primary model
Vector
Vector
Also supports
Columnar / OLAP, Search Engine
Relational
Type
Database engine
Extension
Status
Active
Active
Developer
LanceDB, Inc.
Alex Garcia (sponsored by Mozilla Builders)
First release
2023
2024
Latest version
0.40.0 (Oct 7, 2026)
0.1.9 (Mar 31, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)MIT or Apache-2.0 (dual)
Free tier
✓
✓
popularity
WhichDB Score
27.5
31.1
Rank
#102
#81
GitHub stars
11.8K
8.2K
Stack Overflow questions
1
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Small (≤ 100 GB)
Horizontal scaling
Native
None
Multi-region
None
None
ACID
Limited
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Embedded, Serverless, Shared storage
Embedded
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
—
Serverless
✓
—
Embedded
✓
✓
Edge
—
✓
Clouds
AWS, Google Cloud, Azure
–
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
LanceDB API (SQL filter expressions), SQL
SQL
Client languages
Python, TypeScript, Rust, Java
Python, JavaScript, Go, Rust, Ruby, C
Best for
Vector search, RAG, Embedded, Lakehouse
Vector search, RAG, Embedded, Edge

LanceDB vs sqlite-vec: FAQ

What is the difference between LanceDB and sqlite-vec?

LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data. sqlite-vec: Dependency-free SQLite extension for vector search that runs anywhere SQLite does, including WASM. LanceDB is built for larger datasets (≤ 1 PB) than sqlite-vec (≤ 100 GB). Horizontal scaling is native in LanceDB and none in sqlite-vec. Transactions: LanceDB offers limited ACID; sqlite-vec offers full.

When should I choose LanceDB over sqlite-vec?

Choose LanceDB for embedded RAG in desktop, CLI and agent apps; multimodal datasets shared by training and retrieval; and agent memory stores. Choose sqlite-vec for on-device RAG in desktop and mobile apps; local-first semantic search; and browser-based vector search via WASM.

Is LanceDB or sqlite-vec more popular?

sqlite-vec ranks #81 on the WhichDB Score (31.1/100) and LanceDB ranks #102 (27.5/100). Popularity is not fit: check the requirements that matter for your project.

Are LanceDB and sqlite-vec open source?

Yes. LanceDB is open source. License: Apache License 2.0. Yes. sqlite-vec is open source. License: MIT or Apache-2.0 (dual).