// scorecard · 35/100
verified 1mo agoAgent-readiness20/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server9/9
llms.txt0/3
Reliability & performance0/15
Actively maintained—
Production-ready0/4
Updated recently—
Pricing1/13
Itemized public pricing0/6
Free tier / trial0/4
Free-tier generosity1/3
Docs & DX2/12
Docs quality—
Public API2/2
Quickstart / examples0/2
Security & compliance8/12
SOC 26/6
ISO 270010/2
GDPR0/2
Security / trust page2/2
Openness4/10
Open source0/6
Open / un-gated API4/4
Company maturity0/3
Company size—
Years operating—
// rankings · cost per standard workload
#14 in Vector Databasesnot comparable
Managed Cloud is contact-sales (custom quote); OSS core free to self-host
lancedb.com/pricing// overview
LanceDB is a multimodal lakehouse for AI built on the Lance format. It provides one data layer for curation, feature engineering, search/retrieval, and model training with a single schema-enforced table holding images, video, audio, text, annotations, embeddings, and features. It supports high-throughput training access and unified vector/full-text/hybrid search with SQL filters.
Best for: AI teams needing one platform for multimodal data curation, feature engineering, retrieval, and training
// security & compliance
✓ SOC 2✗ ISO 27001✗ GDPR✗ HIPAA
// features
- Unified vector, full-text, and hybrid search with SQL filters
- Build/scale features with Python UDFs, automatic updates, no table rewrites
- Train directly from curated data with up to 70% MFU and no data movement
- Curation: find optimal distributions, deduplicate datasets, surface edge cases
- One table supporting curation, feature backfills, retrieval, and training
- High-throughput sequential scans plus fast random access for GPU batches