Chroma alternative. Prototype locally, scale to production.
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.
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Tomorrow's AI is being built on LanceDB today
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Why teams switch
Compute-storage separation
Prototype embedded, scale to cloud. No RAM ceiling.
One table, not six systems
Raw data, embeddings, and features together. No sync jobs. No drift.
Schema evolution without rebuilds
New embedding model? Add a column. No re-indexing, no migrations, no downtime.
Full-text + hybrid search, native
Vector, full-text, and SQL queries in one system. Chroma is vector-only.
Comparison
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.
Purpose
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.
The Power of the Lance Format
Vector Search
- Fast scans and random access from the same table — no tradeoff
- Zero-copy access for high throughput without serialization overhead
Multi-Modal
- Raw data, embeddings, and metadata in one table — not pointers to blob storage
- No separate metadata store to keep in sync
Enterprise-Grade Requirements
Security
Granular RBAC, SSO integration, and VPC deployment options.
Governance
Data versioning and time-travel capabilities for auditability.
Support
Dedicated technical account management and guaranteed SLAs.
Talk to Engineering
Or try LanceDB OSS — same code, scales to Cloud.
Schedule a Technical Consultation