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.
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Tomorrow's AI is being built on LanceDB today
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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.
Schedule a Technical Consultation