LanceDB
Open-source vector database for fast, multimodal AI applications with hybrid search capabilities
- Also known as
- lancedb
Available worldwide
What is LanceDB?
A purpose-built vector database for storing, indexing, and searching across petabytes of multimodal data (text, images, vectors). It provides hybrid search combining vector similarity with full-text search, operates as an embedded library, and is available as self-hosted or managed cloud service.
LanceDB pricing
We don't have LanceDB's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What LanceDB does
The capabilities that matter for vector databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment
- Self-hosted
- Serverless / consumption pricing
- ✓
- ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
- -
- Distance metrics (cosine / dot / Euclidean)
- -
- Metadata filtering
- Post-filter
- Hybrid search (dense + sparse fusion)
- ✓
- Built-in BM25 / lexical
- ✓
- Quantization
- -
- On-disk vs in-memory
- Disk-backed
- Multi-tenancy (namespaces / collections / tenants)
- ✓
- Horizontal scale
- Sharded / distributed
- Consistency
- -
- Licence class
- Permissive OSS
- Purpose-built vs feature-of-parent
- Dedicated DBMS
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- Self-hosted
Integrations (15)
Independently observed- LangChain
- LlamaIndex
- DuckDB
- Apache Arrow
- Pandas
- Polars
- CrewAI
- Hugging Face
- Apache Fluss
- Ray
- Volcano Engine
- Voxel51
- Continue
- OpenClaw
- LeRobot
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
LanceDB FAQ
Common questions about LanceDB, answered from independent, dated evidence.
What is LanceDB?
A purpose-built lakehouse designed for AI applications that unifies storage, indexing, and retrieval of multimodal data (text, images, videos, and more) at petabyte scale. Enables fast vector search, metadata filtering, and feature engineering workflows for machine learning workloads without data synchronization overhead. It is indexed under Vector Databases.
Source: https://lancedb.com
What platforms does LanceDB support?
LanceDB supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://lancedb.com
Can LanceDB be self-hosted?
Yes. LanceDB can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://lancedb.com
What does LanceDB integrate with?
We have confirmed 15 integrations for LanceDB, including LangChain, LlamaIndex, DuckDB, Apache Arrow, Pandas, Polars, CrewAI and Hugging Face, plus 7 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://lancedb.com
What security certifications does LanceDB have?
We have independently confirmed SOC 2, HIPAA and GDPR for LanceDB. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as LanceDB not holding them. Always confirm compliance directly before you rely on it.
Source: https://lancedb.com
Is LanceDB open source?
Yes. LanceDB is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
LanceDB alternatives
Other vector databases we track, ranked by the same independent score.
- Zilliz CloudA fully managed cloud service for storing, indexing, and searching high-dimensional vector data at scalemedium · 74%
- PineconeManaged vector database infrastructure for machine learning applicationshigh · 75%
- TurbopufferA database combining vector similarity and text search built on cloud storagemedium · 61%
- EpsillaCreate AI agents without needing engineering resourceslow · 30%
- Chromamedium · 70%
- WeaviateA vector database platform designed for building AI-powered semantic search applicationshigh · 75%
Compare LanceDB
Side by side against other vector databases, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for LanceDB, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Development activity | 63 | 0.14 | 8.5 | ✓ |
| Security posture | 60 | 0.12 | 7.3 | ✓ |
| Capabilities | 67 | 0.08 | 5.4 | ✓ |
| Stars | 77 | 0.05 | 3.6 | ✓ |
| Package downloads | 80 | 0.04 | 3.3 | ✓ |
| Dependent projects | 44 | 0.05 | 2.4 | ✓ |
| Integrations | 35 | 0.05 | 1.9 | ✓ |
| Release cadence | 0 | 0.08 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-09-10 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 67% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Deployment: self_hosted · Serverless: Yes · Storage tier: disk_backed · Hybrid search: Yes · Licence class: permissive_oss · Multi tenancy: Yes | mediumsource · 2026-09-10 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 15 | mediumsource · 2026-08-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Rust | highsource · 2026-09-10 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-09-10 · 99% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-14 · 75% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| History | 20 items | mediumsource · 2026-09-10 · 70% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Gdpr | Yes | mediumsource · 2026-08-14 · 60% |
| Hipaa | Yes | mediumsource · 2026-08-14 · 60% |
| Soc2 | Yes | mediumsource · 2026-08-14 · 60% |
| Disclosure policy | Yes | mediumsource · 2026-08-05 · 60% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=lancedb&per_page=100 · Last 12m: 0 | highsource · 2026-09-10 · 90% |
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