Quick comparison
| # | App | Pricing | Verified price | Open source | Platforms | Verified facts | Score |
|---|
| 1 |  Qdrant | Open source | — | Yes | Self-hosted, Web | 5 of 5 | 61.8 |
| 2 |  Weaviate | Open source | From $45/month | Yes | Self-hosted, Web | 4 of 4 | 55.9 |
| 3 |  Milvus | Open source | — | Yes | Self-hosted, Linux | 3 of 3 | 55.3 |
| 4 |  Chroma | Open source | — | Yes | Self-hosted, Linux, macOS +1 | 5 of 5 | 54.5 |
1Best for: Teams wanting a permissively licensed vector engine they can run anywhere
Open sourceSelf-hostableSelf-hosted, Web
Why switch from turbopuffer
Open source, so you can self-host for free or use its managed cloud.
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 ×0.377
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
2Best for: Developers building RAG or semantic search who want open source with a managed cloud option
Open sourceSelf-hostableSelf-hosted, Web
Why switch from turbopuffer
Open-source vector database with built-in hybrid search and vectorizer modules, available self-hosted or managed.
Pros
- Open source and self-hostable
- Hybrid search and built-in embedding integrations
- Free cloud tier for experiments
Cons
- Free cloud tier is capped at 100,000 objects and one collection
- Cloud pricing spans several usage dimensions
- Self-hosting at scale needs Kubernetes experience
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
3Best for: Teams self-hosting vector search that need to scale to very large collections
Open sourceSelf-hostableSelf-hosted, Linux
Why switch from turbopuffer
Self-hostable open-source engine if you want to avoid a hosted-only vendor.
Pros
- Apache 2.0 licence with no paid core
- Same API from a local Python library up to a distributed cluster
- Many index types, including disk-based and GPU indexes
- Managed option available through Zilliz Cloud
Cons
- Distributed mode needs Kubernetes and has many moving parts
- Heavier to operate than single-binary options like Qdrant or Chroma
- Managed hosting is a separate product from a separate site
How this score is calculated
Editorial fit ×0.363
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.1585
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
4Best 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 turbopuffer
Open-source embedding store that is simple to start locally, with a serverless cloud for larger collections.
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 ×0.353
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