LanceDB runs on object storage with low-latency random access. You get the performance — without costs that scale linearly with your data.
Lance runs on object storage, not memory. 20 PB largest table. Up to 100x cost savings.
Raw data, embeddings, and features together. No sync jobs. No drift.
New embedding model doesn't mean re-indexing. Add columns without rewriting data.
| Other VectorDBs | LanceDB | |
|---|---|---|
| Cost at scale | RAM-bound — costs grow with data | Object storage with low-latency random access. Up to 100x savings. |
| Scale | Limited public benchmarks | 20 PB largest table. 20K+ QPS. Netflix, Uber, Exa in production. |
| Data Handling | Vectors only — raw data lives elsewhere | Raw data, embeddings, and features in one table |
| Workloads | Search only | Search, analytics, feature engineering, training |
Granular RBAC, SSO integration, and VPC deployment options.
Data versioning and time-travel capabilities for auditability.
Dedicated technical account management and guaranteed SLAs.
Validate your architecture with a team that understands enterprise scale.