The Managed LanceDB Vector Database
Production database for RAG, agents, and multimodal search. Large-scale traffic, tight latency budgets, growing datasets. No blown cloud bills. LanceDB Enterprise is your storage and retrieval layer.
Tomorrow's AI is being built on LanceDB today
Why teams switch
Compute-storage separation
Serverless capacity scales with load. Data in Lance tables on object storage.
One table, not six systems
Vectors, metadata, and raw data together. Same format - embedded, self-hosted, managed.
Schema evolution without rebuilds
Add columns without migrations. Managed ops handle compaction and indexing.
Full-text + hybrid search, native
Vector, full-text, and SQL queries in one system. Built in, not bolted on.
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.