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Best Vector Databases in 2026 (Open Source and Managed, Compared)

Toolradar data: we track 18 tools in this category, 15 of which offer a free tier, and 12 entered our catalog during 2026.

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Toolradar data: we track 18 tools in this category, 15 of which offer a free tier, and 12 entered our catalog during 2026.

Vector databases went from a niche to a default dependency of anything doing retrieval. The choice comes down to one question asked early: do you want to run it, or have it run for you.

Quick comparison

ToolFree tierRatingWhat it is
WeaviateYes4.6Open-source vector database with ML
QdrantYes4.5Vector database for similarity search
YugabyteYes4.5AI-ready, distributed, PostgreSQL-compatible database for modern
MilvusYes4.7Open-source vector database for AI
PineconeYes4.6Managed vector database for semantic search and RAG
ChromaNo4.2Open-source vector database for AI applications
LanceDBYes4.3Serverless vector database for AI applications
SurrealDBYesn/aThe ultimate multi-model database for AI agents, simplifying you
Pinecone MCPYesn/aConnect Pinecone projects to AI assistants for enhanced developm

Run it yourself

Weaviate

Open-source vector database with ML. Editorial score 88, free tier available, rated 4.6 across 29 third-party reviews.

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Qdrant

Vector database for similarity search. Editorial score 88, free tier available, rated 4.5 across 12 third-party reviews.

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Milvus

Open-source vector database for AI. Editorial score 86, free tier available, rated 4.7 across 11 third-party reviews.

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Chroma

Open-source vector database for AI applications. Editorial score 84, paid only, rated 4.2 across 6 third-party reviews.

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Managed for you

Pinecone

Managed vector database for semantic search and RAG. Editorial score 86, free tier available, rated 4.6 across 39 third-party reviews.

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Yugabyte

AI-ready, distributed, PostgreSQL-compatible database for modern. Editorial score 87, free tier available, rated 4.5 across 66 third-party reviews.

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FAQ

Do I need a vector database at all?

Not always. Under roughly a hundred thousand vectors, a Postgres extension or an in-process index is usually enough and removes an entire service from your stack. A dedicated database earns its place when you need filtered search at scale, live updates, or horizontal scaling.

What is the difference between an open-source and a managed vector database?

Mostly who handles failure. Weaviate, Qdrant and Milvus can all be self-hosted and several also sell a hosted tier; Pinecone is managed only. Self-hosting is cheaper per query and costs you the operational work of sharding, backups and upgrades.

Are vector databases free?

Fifteen of the eighteen we track offer a free tier or are open source outright. Free usually caps stored vectors or queries per month, which is enough to prototype and rarely enough to ship.

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Louis Corneloup

Written by

Louis Corneloup

Founder & Editor-in-Chief at Toolradar. Founder & CEO of Dupple, the publisher of 5 industry newsletters reaching 720K+ tech professionals. Reviews B2B software using a public methodology, see /how-we-rate and /editorial-policy.