Why Multimodal Data Needs a Better Lakehouse? — Download the Research Study
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Multimodal Storage Built for Scale

Blobs, tables, and metadata in one open format.

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Tomorrow's AI is being built on LanceDB today

Truly Multimodal

Store and query any combination of data types. Native support for blob + structured data.

Overview Docs

Just Files on Cloud

No managed infra required. Compatible with popular block storage options.

Storage Docs

Zero-Copy Schema Evolution

Add, update, or backfill features without ETL.

Schema Docs

Open and Interoperable

Discuss all catalog and namespace options and other ways to hookup to the product.

Integrations
Netflix's Media Data Lake and the Rise of the Multimodal Lakehouse

Netflix's Media Data Lake and the Rise of the Multimodal Lakehouse

Read the Blog
Lance, Parquet, Iceberg: A Technical Comparison

Lance, Parquet, Iceberg: A Technical Comparison

Read the Lance Paper

Why Top AI Companies Trust Lance

“We checked lots of other solutions, and they all became exorbitantly expensive for datasets >100M embeddings. LanceDB was the only option that could store 1B embeddings with 100x lower cost and zero ops. That’s why we love LanceDB!”

Chris Moody, CTO & Co-founder

“We checked lots of other solutions, and they all became exorbitantly expensive for datasets >100M embeddings. LanceDB was the only option that could store 1B embeddings with 100x lower cost and zero ops. That’s why we love LanceDB!”

Chris Moody, CTO & Co-founder

“We checked lots of other solutions, and they all became exorbitantly expensive for datasets >100M embeddings. LanceDB was the only option that could store 1B embeddings with 100x lower cost and zero ops. That’s why we love LanceDB!”

Chris Moody, CTO & Co-founder

“We checked lots of other solutions, and they all became exorbitantly expensive for datasets >100M embeddings. LanceDB was the only option that could store 1B embeddings with 100x lower cost and zero ops. That’s why we love LanceDB!”

Chris Moody, CTO & Co-founder

Don’t let storage define your project.

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