LanceDB vs Qdrant

LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data. Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud.

key differences

Transactions: LanceDB offers limited ACID; Qdrant offers none.
Only LanceDB has columnar storage, time travel, online schema changes.
Only Qdrant has geospatial, json, role-based access.
LanceDB has a serverless option; Qdrant does not.
LanceDB can run embedded in your application process.

choose lancedb for

+Embedded RAG in desktop, CLI and agent apps
+Multimodal datasets shared by training and retrieval
+Agent memory stores
+Serverless vector search over S3

best at · Vector search, RAG, Embedded

choose qdrant for

+RAG retrieval with metadata filtering
+Recommendation and similarity search
+Image and multimodal search
+Multi-tenant semantic search

best at · Vector search, RAG

LanceDBEmbedded, serverless retrieval database on the Lance columnar format for multimodal AI data.

QdrantRust vector search engine with rich payload filtering, quantization and a managed cloud.

overview

Primary model

Vector

Also supports

Columnar / OLAP, Search Engine

Document

Type

Database engine

Status

Active

Developer

LanceDB, Inc.

Qdrant Solutions GmbH

First release

2023

2021

Latest version

0.40.0 (Oct 7, 2026)

1.20.0 (Oct 22, 2026)

License

Open source (permissive)Apache License 2.0

Free tier

✓

popularity

WhichDB Score

27.5

35.9

Rank

#102

#55

GitHub stars

11.8K

35.3K

Stack Overflow questions

scale & guarantees

Comfortable data size

Large (≤ 1 PB)

Horizontal scaling

Native

Multi-region

None

ACID

Limited

None

Consistency

Strong

Tunable, Eventual

Schema

Strict

Schemaless

Architecture

Embedded, Serverless, Shared storage

Distributed, Client server

deployment

Self-hosted

✓

Vendor-managed cloud

✓

Serverless

✓

—

Embedded

✓

—

Edge

—

Clouds

AWS, Google Cloud, Azure

capabilities

Transactions

—

Joins

—

Secondary indexes

✓

Full-text search

✓

Vector search

✓

Geospatial

—

✓

JSON

—

✓

Change data capture

—

Triggers

—

Stored procedures

—

Materialized views

—

TTL / expiry

—

Pub/Sub

—

Columnar storage

✓

—

In-memory

—

Durable persistence

✓

Compression

✓

Encryption at rest

—

Role-based access

—

✓

Time travel

✓

—

Branching

—

Online schema changes

✓

—

Streaming ingest

—

Offline sync

—

Runs in WebAssembly

—

interfaces

Query languages

LanceDB API (SQL filter expressions), SQL

Qdrant Query API (JSON filters)

Client languages

Python, TypeScript, Rust, Java

Python, JavaScript, Rust, Go, Java, .NET

Best for

Vector search, RAG, Embedded, Lakehouse

Vector search, RAG

Add more to this comparison Not sure either fits? Try smart match

LanceDB vs Qdrant: FAQ

What is the difference between LanceDB and Qdrant?

LanceDB: Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data. Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. Transactions: LanceDB offers limited ACID; Qdrant offers none. Only LanceDB has columnar storage, time travel, online schema changes. Only Qdrant has geospatial, json, role-based access.

When should I choose LanceDB over Qdrant?

Choose LanceDB for embedded RAG in desktop, CLI and agent apps; multimodal datasets shared by training and retrieval; and agent memory stores. Choose Qdrant for RAG retrieval with metadata filtering; recommendation and similarity search; and image and multimodal search.

Is LanceDB or Qdrant more popular?

Qdrant ranks #55 on the WhichDB Score (35.9/100) and LanceDB ranks #102 (27.5/100). Popularity is not fit: check the requirements that matter for your project.

Are LanceDB and Qdrant open source?

Yes. LanceDB is open source. License: Apache License 2.0. Yes. Qdrant is open source. License: Apache License 2.0.