Alternatives to Milvus
Open-source vector database built for scale
Milvus ranks #3 of 9 in Vector databases, with an Alt Score of 89. It is licensed under Apache License 2.0, open source with paid hosting from From $0/month (Serverless, usage-based) or $126/GB/month (Dedicated) and available on Linux, macOS and Windows. 13 of 13 checklist rows are verified against a public source.
Milvus is an open-source, horizontally scalable vector database, offered as managed Zilliz Cloud.
Milvus is aimed at developers and engineering teams building AI applications that need large-scale similarity search over vectors, such as retrieval-augmented generation (RAG), semantic search, recommendation systems, and multimodal search. It scales from a solo developer prototyping with Milvus Lite in a Jupyter notebook up to enterprises running billion-vector, high-availability clusters on Kubernetes.
An open-source (Apache 2.0), high-performance vector database written in Go and C++, distributed under three deployment modes: Milvus Lite (embedded Python library), Milvus Standalone (single Docker container), and Milvus Distributed (Kubernetes cluster). It supports dense, binary, and sparse vectors, hybrid search combining semantic (dense vector) and full-text/BM25 keyword search, metadata filtering, multiple multi-tenancy isolation strategies, and integrations with embedding providers (OpenAI, Cohere, HuggingFace, etc.) and frameworks like LangChain and LlamaIndex. Milvus is also available as a fully managed service, Zilliz Cloud, offering Serverless, Dedicated, and Bring-Your-Own-Cloud (BYOC) hosting tiers with a free plan.
Milvus separates compute and storage in a distributed, cloud-native architecture, letting query nodes and data nodes scale independently for read-heavy or write-heavy workloads. It supports multiple vector index types (HNSW, IVF, FLAT, DiskANN, and others) with GPU acceleration, and applies scalar filtering alongside vector search so queries can combine similarity search with metadata predicates in a single request.
Why people leave Milvus
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Ranked alternatives
Ordered by Alt Score. Click any score to see the breakdown.
Chroma is an open-source embedding (vector) database for AI applications, with a hosted Chroma Cloud.
LanceDB is an open-source, embeddable serverless vector database built on the Lance columnar format, with a managed cloud.
Qdrant is an open-source vector search engine and database with a managed cloud offering.
Pinecone is a fully managed, serverless vector database for building high-performance AI search and retrieval applications.
Vespa is an open-source big-data serving engine for search, recommendation and vector retrieval, with Vespa Cloud as the managed option.
pgvector is an open-source PostgreSQL extension that adds vector similarity search to an existing Postgres database.
Weaviate is an open-source vector database with a managed cloud, built for AI-native search and retrieval.
turbopuffer is a serverless vector and full-text search database built on object storage, offered as a managed cloud service.
Feature comparison
Rows come from the Vector databases checklist (17 rows). Human-verified cells only. ? means the value has not been verified.
| Vector databases checklist | Milvus | Chroma | LanceDB | Qdrant | Pinecone | Vespa |
|---|---|---|---|---|---|---|
| Pricing model | ||||||
| Starts at | ||||||
| License | ||||||
| Platforms | ||||||
| Open source | ||||||
| Self-hostable | ||||||
| Fully managed cloud | ||||||
| Hybrid search (vector + keyword) | ||||||
| Metadata filtering | ||||||
| Horizontal scaling / sharding | ||||||
| Serverless option | ||||||
| Built-in embedding generation | ||||||
| Multi-tenancy / namespaces | ||||||
| Real-time upserts | ||||||
| SQL / existing-DB integration | ||||||
| Free tier | ||||||
| SDKs (Python/JS) |
Every fact and feature listed for Milvus is verified against its own pages. Each alternative is sourced on its own page.
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License Apache License 2.0 verified 2026-07-16
GitHub README confirms this applies to the project: "distributed with Apache 2.0 License, with Zilliz as its major contributor."
Apache License Version 2.0, January 2004
https://raw.githubusercontent.com/milvus-io/milvus/master/LICENSE -
Pricing model OSS + paid hosting verified 2026-07-16
Milvus itself is free open-source software (Apache 2.0); Zilliz Cloud is the paid managed hosting option for the same engine.
Milvus is available as a fully managed service on Zilliz Cloud, with Serverless, Dedicated and BYOC options available.
https://raw.githubusercontent.com/milvus-io/milvus/master/README.md -
Platforms Linux, macOS, Windows verified 2026-07-16
Windows support is via Docker Desktop for Milvus Standalone, confirmed separately: "This page demonstrates how to run Milvus on Windows using Docker Desktop for Windows." (https://milvus.io/docs/insta
Ubuntu >= 20.04 (x86_64 and arm64) ... MacOS >= 11.0 (Apple Silicon M1/M2 and x86_64)
https://milvus.io/docs/milvus_lite.md -
Status active verified 2026-07-16
Release dated May 9, 2026 per the same page; GitHub repo (milvus-io/milvus) shows commits pushed as recently as 2026-07-16.
Milvus 3.0-beta extends the Milvus vector database with new integration into the open lake ecosystem.
https://milvus.io/docs/release_notes.md -
Starts at From $0/month (Serverless, usage-based) or $126/GB/month (Dedicated) verified 2026-07-16
This is the 'Standard' tier, the first paid tier above the $0 Free plan on Zilliz Cloud (the managed Milvus offering). Serverless has no fixed monthly minimum and is billed per-usage (e.g., 'From $16
From $0 /month (Serverless) <br/> From $126/GB/month (Dedicated)
https://zilliz.com/pricing -
Open source Yes verified 2026-07-16
Apache License Version 2.0, January 2004
https://raw.githubusercontent.com/milvus-io/milvus/master/LICENSE -
Self-hostable Yes verified 2026-07-16
All components of Milvus Standalone are packed into a single Docker image, making deployment convenient.
https://milvus.io/docs/install-overview.md -
Fully managed cloud Yes verified 2026-07-16
The fully managed offering is Zilliz Cloud (built by Milvus's major contributor, Zilliz), not Milvus OSS itself.
Milvus is available as a fully managed service on Zilliz Cloud, with Serverless, Dedicated and BYOC options available.
https://raw.githubusercontent.com/milvus-io/milvus/master/README.md -
Hybrid search (vector + keyword) Yes verified 2026-07-16
By combining full-text search with semantic search with dense vectors, you can achieve a hybrid approach that leverages both semantic context from dense embeddings and precise keyword relevance from w
https://milvus.io/docs/full_text_search_with_milvus.md -
Metadata filtering Yes verified 2026-07-16
Milvus optimizes vector search for advanced features such as metadata filtering and range search.
https://raw.githubusercontent.com/milvus-io/milvus/master/README.md -
Horizontal scaling / sharding Yes verified 2026-07-16
Milvus can horizontally scale and adapt to diverse traffic patterns, achieving optimal performance by independently increasing query nodes for read-heavy workload and data node for write-heavy workloa
https://raw.githubusercontent.com/milvus-io/milvus/master/README.md -
Serverless option Yes verified 2026-07-16
Serverless is offered on Zilliz Cloud (the managed hosting of Milvus), not on self-hosted Milvus OSS.
From $0 /month (Serverless)
https://zilliz.com/pricing -
Built-in embedding generation Partial verified 2026-07-16
Milvus's Function feature automatically calls out to external embedding providers (OpenAI, Cohere, etc.) server-side during insert/search, rather than running a self-contained embedding model in-proce
The Function module in Milvus allows you to transform raw text data into vector embeddings by automatically calling external embedding service providers
https://milvus.io/docs/embedding-function-overview.md -
Multi-tenancy / namespaces Yes verified 2026-07-16
Milvus supports four multi-tenancy strategies, each offering a different trade-off between scalability, data isolation, and flexibility.
https://milvus.io/docs/multi_tenancy.md -
Real-time upserts Yes verified 2026-07-16
Upsert mechanics documented separately at https://milvus.io/docs/upsert-entities.md (insert-or-replace by primary key).
Milvus can horizontally scale ... and keep data fresh with real-time streaming updates.
https://raw.githubusercontent.com/milvus-io/milvus/master/README.md -
SQL / existing-DB integration No verified 2026-07-16
The integrations catalog (orchestration frameworks, embedding providers, data sources like Kafka/Spark/Airbyte) lists no PostgreSQL/MySQL connector or SQL query layer for Milvus itself.
This page provides a list of tutorials for you to interact with Milvus and third-party tools.
https://milvus.io/docs/integrations_overview.md -
Free tier Yes verified 2026-07-16
Zilliz Cloud's Free plan is listed at $0. Milvus OSS itself is also entirely free to self-host.
Starting point for learning and personal projects.
https://zilliz.com/pricing -
SDKs (Python/JS) Yes verified 2026-07-16
Current version of Milvus supports SDKs in Python, Node.js, GO, and Java.
https://milvus.io/docs/install-pymilvus.md
FAQ
Yes. Pinecone and pgvector have a free tier or are fully free. Free-tier limits in the comparison table are verified and dated.
Chroma, LanceDB and Qdrant — every license claim links its source.