Quick comparison
| # | App | Pricing | Verified price | Open source | Platforms | Verified facts | Score |
|---|
| 1 | Qdrant | Open source | — | Yes | Self-hosted, Web | 5 of 5 | 68.8 |
| 2 | Chroma | Open source | — | Yes | Self-hosted, Linux, macOS +1 | 5 of 5 | 55.9 |
| 3 | Elasticsearch | Open source | — | Yes | Self-hosted, Web | 4 of 4 | 52.6 |
| 4 | Redis Open Source | Open source | — | Yes | Linux, macOS, Self-hosted | 3 of 3 | 50.0 |
1
Best for: Teams wanting a permissively licensed vector engine they can run anywhere
Open sourceSelf-hostableSelf-hosted, Web
Why switch from Milvus
Open-source vector database in a single Rust binary, simpler to run on one server.
Pros
- Apache 2.0 licence and easy Docker self-hosting
- Strong metadata filtering alongside vector search
- Free-forever cloud cluster for testing
Cons
- Free cloud cluster is tiny at 1 GB of RAM
- Cluster sizing is up to you, unlike serverless Pinecone
- Fewer built-in AI conveniences than some managed rivals
How this score is calculated
Editorial fit ×0.3100
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
2
Best for: Developers who want a simple, free, self-hosted vector store for RAG and semantic search prototypes.
Open sourceSelf-hostableSelf-hosted, Linux, macOS, Windows
Why switch from Milvus
Open-source embedding database that runs in-process with Python or JavaScript, much simpler to start with than a Milvus cluster.
Pros
- Apache 2.0 licence with no usage limits on the open-source version
- Quick to start with pip or npm and an embedded local mode
- Combines vector, BM25, full-text, regex and metadata search
Cons
- Hosted Chroma Cloud is being wound down after the Replit deal
- You run, scale and back up the database yourself
- Future roadmap now depends on Replit's priorities
How this score is calculated
Editorial fit ×0.357
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
3
Best for: Engineering teams with large or complex search, logging or analytics needs
Open sourceSelf-hostableSelf-hosted, Web
Why switch from Milvus
Combines dense-vector kNN with full-text search in one engine, useful for hybrid search on data already in Elastic.
Pros
- Scales to very large datasets across many nodes
- Full-text, vector and hybrid search in one engine
- Self-managed, hosted and serverless options
Cons
- Needs real tuning and operations work to run well
- Memory-hungry compared with lighter search engines
- Several features need a paid Elastic subscription
How this score is calculated
Editorial fit ×0.346
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
4
Best for: Developers who want the reference Redis with built-in JSON, search and vector features
Open sourceSelf-hostableLinux, macOS, Self-hosted
Why switch from Milvus
Redis Query Engine adds vector indexes to a store many teams already run, for low-latency similarity search.
Pros
- Huge ecosystem of clients, tutorials and hosting options
- Redis 8 bundles JSON, search and vector features in one install
- AGPLv3 option makes it open source again
- Free GUI client (Redis Insight) from the same vendor
Cons
- Licence choices (AGPLv3, SSPL, RSAL) are stricter than the old BSD licence
- Windows is only supported through Docker
- Mostly single-threaded command execution limits per-node throughput
How this score is calculated
Editorial fit ×0.338
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula