Managed services - verified
LanceDB Enterprise
LanceDB Enterprise is listed under managed services (deployment type: managed provisioned). No public price list: lancedb.com/pricing resolved to the LanceDB contact page on 2026-10-18. Stated: hybrid and sparse search, built-in embedding and built-in reranking. Read from the vendor's own pages on October 18, 2026.
Read from docs.lancedb.com, lancedb.com. Docs - Compare every vector database
Status
- Availability label
- Not stated
No GA or preview label is stated on the pages checked.
How LanceDB Enterprise charges
Every price LanceDB Enterprise states, in its own unit, with the quote and where it comes from. Nothing is converted.
No public price list: lancedb.com/pricing resolved to the LanceDB contact page on 2026-10-18.
Free tier and limits
- Free tier
- Not stated
No free tier is stated; the pricing URL resolves to a contact page.
- Limits
- Not stated
Not stated on the pages checked.
Search and indexing
- Max dimensions
- Not stated
Not stated on the pages checked.
- Distance metrics
l2, cosine, dot, hamming
“Euclidean or l2 is the default, and used for general-purpose similarity, cosine for unnormalized embeddings, dot for normalized embeddings (best performance), or hamming for binary vectors.”
docs.lancedb.com - Index types
IVF, IVF_HNSW, FTS, scalar indexes
“IVF (Vector) Large-scale vector search with configurable accuracy/speed trade-offs.”
docs.lancedb.com - Hybrid and sparse search
Yes
“Hybrid Search: Learn how to perform hybrid search in LanceDB by combining vector and full-text search techniques with reranking.”
docs.lancedb.com - Metadata filtering
Yes
“Scalar Index: Accelerates filtering and sorting of structured numeric or categorical data”
docs.lancedb.com - Multi-tenancy
- Not stated
Not described on the pages checked.
Built-in embedding and reranking
- Built-in embedding
Embedding UDFs listed for the Geneva feature-engineering layer
“Built-in LLM and Embedding UDFs”
docs.lancedb.com - Built-in reranking
Rerankers documented
“Reranking Search Results: Use a reranker to improve search relevance.”
docs.lancedb.com
Deployment, license and SDKs
- Regions and clouds
- Not stated
Not stated on the pages checked (an Azure deployment guide is listed in the docs index).
- BYOC and self-host
Deployable in customer environments (deployment guides, including Azure)
“Deployment guide: Learn how to deploy LanceDB Enterprise in production environments.”
docs.lancedb.com “Azure deployment guide: Learn how to deploy LanceDB Enterprise on Azure with AKS, Private Link, and Blob Storage.”
docs.lancedb.com - License
- Not stated
Commercial product; no license is stated on the pages checked.
- SDKs
- Not stated
Not stated for Enterprise on the pages checked.
Vendor-stated claims
Performance, scale and SLA figures as LanceDB Enterprise states them. Not measured.
No performance, scale or SLA figure is recorded from the pages checked.
Research notes
The LanceDB docs home describes the suite as "LanceDB OSS, an open-source embedded retrieval library, and LanceDB Enterprise, a multimodal lakehouse platform for the full AI data lifecycle". No separate LanceDB Cloud tier is described on the pages checked.
FAQ
How much does LanceDB Enterprise cost?
No public price list: lancedb.com/pricing resolved to the LanceDB contact page on 2026-10-18.
What is the maximum vector dimension in LanceDB Enterprise?
Not stated. Not stated on the pages checked.
Does LanceDB Enterprise support hybrid search?
Yes, per the vendor: "Hybrid Search: Learn how to perform hybrid search in LanceDB by combining vector and full-text search techniques with reranking."
Does LanceDB Enterprise have built-in embedding or reranking?
Embedding: Embedding UDFs listed for the Geneva feature-engineering layer. Reranking: Rerankers documented.
Sources
- Source: docs.lancedb.com/enterprise/index
- Source: docs.lancedb.com/search/vector-search
- Source: docs.lancedb.com/indexing
- Source: docs.lancedb.com/llms.txt
- Source: docs.lancedb.com
- Source: lancedb.com/contact
Last verified from each vendor's own docs, pricing pages, READMEs and license files; every quote was string-matched against the page that day. This is a dated snapshot, not a benchmark: prices are shown in each product's own unit and change without notice, so check the linked source before you commit.
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