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Best Milvus Alternatives

Reviewed byRoman K

3 alternatives to Milvus in Vector Databases, compared by pricing, DX grade, security, and vendor lock-in.

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Milvus

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Cloud-native vector database

Pricing: open-source, from $0/mo
Stars: 45.0k
#1

Qdrant

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Pricing
freemium
GitHub Stars
32.7k
Weekly Downloads
660.0k
Category
Vector Databases
#2

Weaviate

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Pricing
freemium ($25+/mo)
GitHub Stars
16.5k
Weekly Downloads
32.0k
Category
Vector Databases
#3

Pinecone

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Pricing
freemium
GitHub Stars
274
Weekly Downloads
592.0k
Category
Vector Databases

Pricing and traction at a glance

Of the 3 alternatives listed, 3 are tracked with full data: 3 keep a free plan. Paid entries run from $0/mo (Qdrant) to $25/mo (Weaviate). Qdrant carries the most GitHub traction with 32,700 stars. Switching cost is usually driven by lock-in, not by the sticker price.

ToolPricingFree planGitHub stars
Qdrantfreemium — from $0/moyes32,700
Weaviatefreemium — from $25/moyes16,500
Pineconefreemium — from $0/moyes274

FAQ

What are the best Milvus alternatives in 2026?

The top alternatives to Milvus are Qdrant, Weaviate, Pinecone. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Milvus?

Several Milvus alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Milvus alternatives are tracked here?

3 in the Vector Databases category, compared on price difference, lock-in risk and developer experience where editorial data exists.

Frequently asked questions

What are the best Milvus alternatives in 2026?

The top alternatives to Milvus are Qdrant, Weaviate, Pinecone. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Milvus?

Several Milvus alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Milvus alternatives are tracked here?

3 in the Vector Databases category, compared on price difference, lock-in risk and developer experience where editorial data exists.