Milvus | Stackbased

Tool profile

Developer ToolsFree plan available

Best for

Large-scale vector retrieval and semantic search

Milvus matters because it represents the open-source end of serious vector infrastructure at scale. The official site positions it as a high-performance vector database for GenAI applications, while the commercial path runs through Zilliz Cloud for teams that want managed capacity, free clusters, and credit-based trials instead of self-hosting everything.

That split is important editorially. Milvus itself is the open-source product and is free to run if your team owns the infrastructure. Zilliz Cloud is the managed commercial layer, and its pricing is more legible than many vector products: a free cluster, trial credits, and serverless usage metered in vCUs for reads and writes. Compared with Weaviate and Pinecone, Milvus often appeals to teams that want an open-source core plus a serious managed option when they are ready to scale.

Best for: Large-scale vector retrieval and semantic search
Access: Free plan available
Pricing: Milvus itself is open source and free to self-host. The managed route is Zilliz Cloud, which offers a free cluster with 5 GB storage and 2.5 million vCUs per month, plus $100 in free credits for 30 days when you sign up with a work email. Zilliz Cloud's serverless pricing uses $4 per million vCUs for both write and read usage, with storage charged separately.
Strengths: 8 notable strengths
Use cases: 3 core use cases
Category fit: Developer Tools / Agent workflows

Editorial take

Why it stands out

Milvus is easiest to recommend when the buyer actually wants vector infrastructure, not just a quick plugin for a demo chatbot.

Open-source vector database built for large-scale similarity search
Milvus Lite, standalone, and distributed deployment paths
Managed commercial path through Zilliz Cloud
Free cluster plus credit-based trial for serverless and dedicated clusters
Serverless pricing model based on read and write vCU consumption
Strong open-source credibility with a real managed scale path
Meaningful free cluster and free-credit story for evaluation
Clear fit for teams expecting vector infrastructure to become core application plumbing

Large-scale vector retrieval and semantic search
RAG and GenAI systems requiring vector database infrastructure
Teams starting open source and later adopting managed vector operations

Helpful context

Choose Milvus when open-source footing matters and you still want a commercial path through Zilliz Cloud later.
Qdrant feels simpler on deployment-choice storytelling; Pinecone feels more opinionated as a managed platform buy.
Zilliz Cloud free cluster plus trial credits make Milvus easier to evaluate than many enterprise-ish infrastructure products.
Serverless vCU pricing is straightforward in principle, but teams still need to model read and write behavior carefully.

MilvusVector databaseOpen sourceRAGDeveloper Tools

Milvus

At a glance

Why it stands out

Strengths

Use it for

Decision cues

Helpful context

Tags

Not ideal for

Pricing

Milvus

At a glance

Why it stands out

Strengths

Use it for

Decision cues

Helpful context

Tags

Related tools in Developer Tools

Not ideal for

Pricing