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Head to head · 2026

LanceDB vs Weaviate

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

LanceDB

Open-source vector database built on the Lance columnar format for multimodal AI search

4.2Free

Visit LanceDB (opens LanceDB in a new tab)

Weaviate

The open-source vector database behind much of today's RAG stack - built-in embeddings, a natural-language Query…

3.7Free

Visit Weaviate (opens Weaviate in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: LanceDB does not list a price

  • Free plan

    Tie

    Both have one

  • Higher rating

    LanceDB

    4.2 against 3.7

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onLanceDBWeaviate
Our rating4.2Better3.7
Starts atFreeFree
Free planYesYes
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansFreeFree
Key features
  • Embedded, serverless vector database with no separate server process required
  • Native support for multimodal data: vectors, images, text, and documents in one table
  • Lance columnar file format optimized for random-access AI workloads
  • Python, JavaScript, and Rust SDKs
  • LanceDB Cloud for managed, usage-based hosting at scale
  • Combined vector search, RAG, and memory in one system
  • Natural language Query Agent for optimized queries
  • Built-in embeddings for text, images, and other data types
  • Multi-tenancy for tens of thousands of segmented indexes
  • SOC 2 compliant and HIPAA certified
Pros
  • Apache 2.0 open-source core with no licensing cost for self-hosting
  • Embedded architecture removes a layer of infrastructure most vector databases require
  • Backed by $41M in funding including a 2025 Series A, suggesting continued development
  • Widely adopted, battle-tested open-source infrastructure
  • Genuine free tier plus a self-hosted option for full control
  • Enterprise-grade compliance built in, not bolted on later
Cons
  • Younger project than incumbents like Pinecone or Weaviate, with a smaller integration ecosystem
  • Cloud pricing is usage-based and not fully transparent until workloads are estimated
  • Embedded model benefits single-application use cases more than shared multi-team deployments
  • Requires real engineering resources to integrate and operate
  • Usage-based cloud pricing can scale with data volume and query load
  • Best suited to teams building genuine AI applications, not casual users
CompanyLanceDB, founded 2022Weaviate

Prices come from each vendor's pricing page, last checked 20260826. Check the vendor before you buy.

FAQ

Questions people ask

Is LanceDB better than Weaviate?

In our reviews LanceDB scores 4.2 and Weaviate scores 3.7. The better pick depends on the job. LanceDB: Open-source vector database built on the Lance columnar format for multimodal AI search. Weaviate: The open-source vector database behind much of today's RAG stack - built-in embeddings, a natural-language Query Agent, tens of thousands of tenants per cluster, SOC 2 and HIPAA certified.

Which is cheaper, LanceDB or Weaviate?

LanceDB: free. Weaviate: free.

Do LanceDB and Weaviate have free plans?

Yes, both have a free plan.

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