TurboPuffer alternative. Production-ready vector search for enterprise teams.
Evaluating TurboPuffer as your vector db? LanceDB delivers proven enterprise scale with an open format, mature ecosystem. In production at Netflix, Uber, and Harvey.
Tomorrow's AI is being built on LanceDB today
Why teams switch
Compute-storage separation
Storage on object storage. Scale compute independently. Up to 100x savings vs RAM-bound systems.
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 data rewrites.
Full-text + hybrid search, native
Vector, full-text, and SQL queries in one system. True hybrid retrieval.
Comparison
| Turbopuffer | LanceDB | |
|---|---|---|
| Search | Vector search focused. | Native vector, full-text, and SQL hybrid search in one query. |
| Data model | Vector search focused. | Schema evolution - raw data, embeddings, and features in one table. |
| Best for | Early adopters comfortable wtih new tech. | Proven enterprise scale. |
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.