Scaling beyond the Chroma vector database? LanceDB gives you the same simple embedded experience, with disk-native storage that scales to petabytes and production workloads.
Prototype embedded, scale to cloud. No RAM ceiling.
Raw data, embeddings, and features together. No sync jobs. No drift.
New embedding model? Add a column. No re-indexing, no migrations, no downtime.
Vector, full-text, and SQL queries in one system. Chroma is vector-only.
| Chroma | LanceDB | |
|---|---|---|
| Cost | Lightweight embedded library for prototyping. | Object storage with compute-storage separation. Up to 100x savings at scale. |
| Scale | Designed for local development and small datasets. | 20 PB largest table. 20K+ QPS. Billions of vectors. |
| Search | Vector search only. | Native vector, full-text, and SQL hybrid search in one query. |
| Data model | Vectors and metadata storage. | Schema evolution - raw data, embeddings, and features in one table. |
| Production | No built-in production scaling path. | Same code from embedded to LanceDB Cloud. |
| Best for | Local prototyping and small datasets. | Prototype locally, scale to production without re-architecture. |
Granular RBAC, SSO integration, and VPC deployment options.
Data versioning and time-travel capabilities for auditability.
Dedicated technical account management and guaranteed SLAs.
Or try LanceDB OSS — same code, scales to Cloud.