LanceDB
by LanceDB Inc.
The multimodal lakehouse for AI — vector, full-text, and hybrid search at billion-row scale
LanceDB is an open-source, AI-native multimodal lakehouse that unifies vector, full-text, and hybrid search with data curation, feature engineering, versioning, and high-throughput training-data access. It is built for ML and AI engineering teams running production retrieval and training pipelines at scale.
At a Glance
- Category
- Data & Analytics
- Pricing
- Free, Usage-based, Contact for pricing
- Target Market
- CTOs, Data Scientists, Enterprise Developers, AI Engineers
- Founded
- 2021
- Headquarters
- San Francisco, USA
Key Features
- ✓Multimodal search
Vector, full-text, and hybrid search with SQL filtering across text, images, video, and audio.
- ✓Lance open format
Built on the open-source Lance columnar format designed for fast random access and no-egress training workflows.
- ✓Data curation & versioning
Deduplication, edge-case discovery, and automatic branching, tagging, and rollback of datasets.
- ✓Feature engineering
Python UDFs with automatic updates and schema evolution without rewriting tables.
- ✓Training-data access
High Model FLOPS Utilization with fast random access and no egress bottlenecks for model training.
- ✓Scale
Handles 100B+ rows per table and 100K+ queries per second on object storage.
Capabilities
Use Cases
- •Retrieval for RAG and agents
Serve low-latency vector and hybrid retrieval for generative-AI and agent applications.
- •Training-data lakehouse
Curate, version, and stream multimodal datasets directly into model-training pipelines.
- •Multimodal data curation
Deduplicate and organize embeddings, images, documents, and video for production ML.
Ideal For
Best For
- ✓Multimodal vector and hybrid search for RAG
- ✓Curating and versioning training datasets at scale
- ✓Feature engineering across text, image, and video
Integrations
Deployment
Market Analysis
Pros
- ✓Open-source and self-hostable with no lock-in
- ✓Unifies the full ML data lifecycle in one format
- ✓Proven at scale with users like Netflix, ByteDance, and Uber
Cons
- ✗Younger than incumbent vector databases
- ✗Cloud and Enterprise tiers still maturing (Cloud in public beta)
Pricing
Open Source
$0
- ✓Apache 2.0 license
- ✓Self-hosted
- ✓All core features
LanceDB Cloud
Usage-based
- ✓Managed service
- ✓Public beta
- ✓Pay-as-you-go
LanceDB Enterprise
Contact for pricing
- ✓Petabyte-scale distributed lakehouse
- ✓Private deployment
- ✓Annual commit via AWS Marketplace
Apache-2.0 open source is free and self-hosted; LanceDB Cloud is usage-based (public beta); Enterprise is an annual commit via AWS Marketplace or custom negotiation.
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