vs

LanceDB vs TileDB

LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data. TileDB: Embeddable multidimensional array storage engine for dense and sparse data on object storage.

key differences

  • LanceDB is primarily a vector database; TileDB is array / scientific.
  • Horizontal scaling is native in LanceDB and manual in TileDB.
  • Only LanceDB has secondary indexes, full-text search, online schema changes.
  • Only TileDB has encryption at rest.
  • LanceDB has a serverless option; TileDB 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 tiledb for

  • +Population genomics and single-cell datasets
  • +Satellite imagery and raster archives
  • +Large sparse matrices for ML
  • +Vector search over embeddings stored on object storage

best at · Scientific, Geo, Vector search

overview
Primary model
Vector
Array / Scientific
Also supports
Columnar / OLAP, Search Engine
Vector, Columnar / OLAP
Type
Database engine
Embedded library
Status
Active
Active
Developer
LanceDB, Inc.
Tile.ai (formerly TileDB, Inc.)
First release
2023
2017
Latest version
0.40.0 (Oct 7, 2026)
2.30.1 (Feb 25, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)MIT License
Free tier
✓
✓
popularity
WhichDB Score
27.5
10.5
Rank
#102
#298
GitHub stars
11.8K
2.1K
Stack Overflow questions
1
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Manual
Multi-region
None
None
ACID
Limited
Limited
Consistency
Strong
Eventual
Schema
Strict
Strict
Architecture
Embedded, Serverless, Shared storage
Embedded, Serverless
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
TileDB API (subarray queries), SQL via integrations
Client languages
Python, TypeScript, Rust, Java
C, C++, Python, R, Java, Go, C#
Best for
Vector search, RAG, Embedded, Lakehouse
Scientific, Geo, Vector search, OLAP

LanceDB vs TileDB: FAQ

What is the difference between LanceDB and TileDB?

LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data. TileDB: Embeddable multidimensional array storage engine for dense and sparse data on object storage. LanceDB is primarily a vector database; TileDB is array / scientific. Horizontal scaling is native in LanceDB and manual in TileDB. Only LanceDB has secondary indexes, full-text search, online schema changes.

When should I choose LanceDB over TileDB?

Choose LanceDB for embedded RAG in desktop, CLI and agent apps; multimodal datasets shared by training and retrieval; and agent memory stores. Choose TileDB for population genomics and single-cell datasets; satellite imagery and raster archives; and large sparse matrices for ML.

Is LanceDB or TileDB more popular?

LanceDB ranks #102 on the WhichDB Score (27.5/100) and TileDB ranks #298 (10.5/100). Popularity is not fit: check the requirements that matter for your project.

Are LanceDB and TileDB open source?

Yes. LanceDB is open source. License: Apache License 2.0. Yes. TileDB is open source. License: MIT License.