Comparison
chromem-go vs qdrant
Verdict
Pick chromem-go if chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities; pick qdrant if high-performance vector database with support for distributed deployment.
Markdown twin · chromem-go alternatives · qdrant alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | chromem-go | qdrant |
|---|---|---|
| Maintenance | Steady (65d since push) As of 4w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- chromem-go
- Embeddable vector database for Go with Chroma-like interface.
- qdrant
- High-performance, massive-scale Vector Database and Vector Search Engine
Stars
- chromem-go
- 1.0k
- qdrant
- 34k
Forks
- chromem-go
- 71
- qdrant
- 2.5k
Open issues
- chromem-go
- 17
- qdrant
- 652
Language
- chromem-go
- Go
- qdrant
- Rust
Adopt for
- chromem-go
- Chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities
- qdrant
- High-performance vector database with support for distributed deployment.
Persona
- chromem-go
- -
- qdrant
- -
Runtime
- chromem-go
- -
- qdrant
- -
License
- chromem-go
- MPL-2.0
- qdrant
- Qdrant is available under the Apache License 2.0.
Last pushed
- chromem-go
- May 17, 2026
- qdrant
- Jul 28, 2026
Categories
- chromem-go
- Vector Databases
- qdrant
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- chromem-go
- Steady (60%)
- qdrant
- Very active (96%)
Days since push
- chromem-go
- 65d
- qdrant
- 0d
Open issues (now)
- chromem-go
- 17
- qdrant
- 652
Owner type
- chromem-go
- User
- qdrant
- Organization
Full report
- chromem-go
- Trust report
- qdrant
- Trust report
Typed relationship
chromem-go alternative qdrantchromem-go and qdrant both serve as vector databases that enable vector similarity searches crucial for RAG and embeddings tasks; while chromem-go operates as an embeddable, in-memory solution specifically for Go applications, qdrant is a standalone, high-performance database suitable for massive-scale operations with extended filtering capabilities.
Choose chromem-go if…
- chromem-go is primarily Go; qdrant is Rust.
- License: chromem-go is MPL-2.0, qdrant is Apache-2.0.
- Requirements: Min 0.5 GB RAM.
- chromem-go and qdrant both serve as vector databases that enable vector similarity searches crucial for RAG and embeddings tasks; while chromem-go operates as an embeddable, in-memory solution specifically for Go applications, qdrant is a standalone, high-performance database suitable for massive-scale operations with extended filtering capabilities.
- Tags unique to chromem-go: chroma, cosine-similarity, embeddings, in-memory.
- If you are building applications in Go and require an in-memory vector database without additional third-party libraries.
When NOT to use chromem-go
- Avoid Chromem-go if you seek a traditional, disk-based persistence model as it primarily supports in-memory operations with optional persistence options.
- Chromem-go is not the best choice if your application requires heavy concurrent load and large-scale data handling which might surpass the in-memory capability limits of this library.
Choose qdrant if…
- qdrant is primarily Rust; chromem-go is Go.
- License: qdrant is Apache-2.0, chromem-go is MPL-2.0.
- Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/.
- Requirements: - Distributed deployment with sharding and replication is supported.; - No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections..
- chromem-go and qdrant both serve as vector databases that enable vector similarity searches crucial for RAG and embeddings tasks; while chromem-go operates as an embeddable, in-memory solution specifically for Go applications, qdrant is a standalone, high-performance database suitable for massive-scale operations with extended filtering capabilities.
- Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, knn-algorithm.
- Also covers Data & Retrieval.
- qdrant ships Docker support for self-hosted deployment.
- - When scalability and performance are paramount in handling large-scale embeddings.
When NOT to use qdrant
- - Avoid if your project requires more traditional relational database features as Qdrant focuses exclusively on vectors.
- - If minimalistic setup is crucial, since Qdrant's capability for distributed deployment may introduce complexity that is not necessary for smaller-scale applications.
- - For use cases where non-Rust environments significantly limit the feasibility of integrating external tools.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (philippgille/chromem-go) · observed Jul 22, 2026
- GitHub forks (philippgille/chromem-go) · observed Jul 22, 2026
- Last push (philippgille/chromem-go) · observed May 17, 2026
- License file (MPL-2.0) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (qdrant/qdrant) · observed Jul 28, 2026
- GitHub forks (qdrant/qdrant) · observed Jul 28, 2026
- Last push (qdrant/qdrant) · observed Jul 28, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: chromem-go 1.0k · qdrant 34k (synced Jul 22, 2026).
Common questions
- What is the difference between chromem-go and qdrant?
- chromem-go: Embeddable vector database for Go with Chroma-like interface.. qdrant: High-performance, massive-scale Vector Database and Vector Search Engine. See the comparison table for live GitHub stats and shared categories.
- When should I choose chromem-go over qdrant?
- Choose chromem-go over qdrant when chromem-go is primarily Go; qdrant is Rust; License: chromem-go is MPL-2.0, qdrant is Apache-2.0; Requirements: Min 0.5 GB RAM; chromem-go and qdrant both serve as vector databases that enable vector similarity searches crucial for RAG and embeddings tasks; while chromem-go operates as an embeddable, in-memory solution specifically for Go applications, qdrant is a standalone, high-performance database suitable for massive-scale operations with extended filtering capabilities; Tags unique to chromem-go: chroma, cosine-similarity, embeddings, in-memory; If you are building applications in Go and require an in-memory vector database without additional third-party libraries.
- When should I choose qdrant over chromem-go?
- Choose qdrant over chromem-go when qdrant is primarily Rust; chromem-go is Go; License: qdrant is Apache-2.0, chromem-go is MPL-2.0; Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/; Requirements: - Distributed deployment with sharding and replication is supported.; - No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections.; chromem-go and qdrant both serve as vector databases that enable vector similarity searches crucial for RAG and embeddings tasks; while chromem-go operates as an embeddable, in-memory solution specifically for Go applications, qdrant is a standalone, high-performance database suitable for massive-scale operations with extended filtering capabilities; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, knn-algorithm; Also covers Data & Retrieval; qdrant ships Docker support for self-hosted deployment; - When scalability and performance are paramount in handling large-scale embeddings.
- When should I avoid chromem-go?
- Avoid Chromem-go if you seek a traditional, disk-based persistence model as it primarily supports in-memory operations with optional persistence options. Chromem-go is not the best choice if your application requires heavy concurrent load and large-scale data handling which might surpass the in-memory capability limits of this library.
- When should I avoid qdrant?
- - Avoid if your project requires more traditional relational database features as Qdrant focuses exclusively on vectors. - If minimalistic setup is crucial, since Qdrant's capability for distributed deployment may introduce complexity that is not necessary for smaller-scale applications. - For use cases where non-Rust environments significantly limit the feasibility of integrating external tools.
- Is chromem-go or qdrant more popular on GitHub?
- qdrant has more GitHub stars (33,629 vs 1,033). Stars measure visibility, not whether either tool fits your constraints.
- Are chromem-go and qdrant open source?
- Yes - both are open-source projects on GitHub (chromem-go: MPL-2.0, qdrant: Apache-2.0).
- Where can I find alternatives to chromem-go or qdrant?
- GraphCanon lists graph-backed alternatives at chromem-go alternatives and qdrant alternatives (chromem-go markdown twin, qdrant markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, chromem-go or qdrant?
- chromem-go: Steady. qdrant: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for chromem-go and qdrant?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chromem-go trust report; qdrant trust report.