Comparison
qdrant vs vespa
Verdict
Pick qdrant if qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication; pick vespa if vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval.
Markdown twin · qdrant alternatives · vespa alternatives
GraphCanon updated Sep 30, 2026
17views this month
Trust & integrity
| Signal | qdrant | vespa |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- qdrant
- High-performance, massive-scale Vector Database and Vector Search Engine for AI
- vespa
- The AI search platform
Stars
- qdrant
- 35k
- vespa
- 7.1k
Forks
- qdrant
- 2.7k
- vespa
- 732
Open issues
- qdrant
- 733
- vespa
- 250
Language
- qdrant
- Rust
- vespa
- Java
Adopt for
- qdrant
- Qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication.
- vespa
- Vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval.
Persona
- qdrant
- -
- vespa
- -
Runtime
- qdrant
- -
- vespa
- -
License
- qdrant
- Qdrant is available under the Apache License, Version 2.0, which is a permissive free software license.
- vespa
- Apache-2.0
Last pushed
- qdrant
- Sep 18, 2026
- vespa
- Aug 18, 2026
Categories
- qdrant
- Vector Databases
- vespa
- Data & Retrieval, Vector Databases
Trust and health
Open issues (now)
- qdrant
- 733
- vespa
- 250
Stars delta
- qdrant
- +1.0k (30d)
- vespa
- +34 (30d)
Open issues delta
- qdrant
- +81 (30d)
- vespa
- +7 (30d)
Full report
- qdrant
- Trust report
- vespa
- Trust report
Typed relationship
qdrant alternative vespaVespa and Qdrant both offer solutions for vector similarity search, providing a scalable and performant way to handle large datasets with high-dimensional vectors.
Choose qdrant if…
- qdrant is primarily Rust; vespa is Java.
- Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud..
- Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment..
- Vespa and Qdrant both offer solutions for vector similarity search, providing a scalable and performant way to handle large datasets with high-dimensional vectors.
- Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search.
- qdrant ships Docker support for self-hosted deployment.
- When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
When NOT to use qdrant
- If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions.
- When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.
Choose vespa if…
- vespa is primarily Java; qdrant is Rust.
- Vespa and Qdrant both offer solutions for vector similarity search, providing a scalable and performant way to handle large datasets with high-dimensional vectors.
- Tags unique to vespa: ai, big-data, java, rag.
- Also covers Data & Retrieval.
- Real-time indexing is critical
When NOT to use vespa
- Prefer solutions with lower setup complexity
- Team lacks Java expertise or prefers alternative languages
- Require no real-time capabilities and can rely on batch processing
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (qdrant/qdrant) · observed Sep 20, 2026
- GitHub forks (qdrant/qdrant) · observed Sep 20, 2026
- Last push (qdrant/qdrant) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (vespa-engine/vespa) · observed Sep 20, 2026
- GitHub forks (vespa-engine/vespa) · observed Sep 20, 2026
- Last push (vespa-engine/vespa) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: qdrant 35k · vespa 7.1k (synced Sep 20, 2026).
Common questions
- What is the difference between qdrant and vespa?
- qdrant: High-performance, massive-scale Vector Database and Vector Search Engine for AI. vespa: The AI search platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose qdrant over vespa?
- Choose qdrant over vespa when qdrant is primarily Rust; vespa is Java; Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud.; Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment.; Vespa and Qdrant both offer solutions for vector similarity search, providing a scalable and performant way to handle large datasets with high-dimensional vectors; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search; qdrant ships Docker support for self-hosted deployment; When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
- When should I choose vespa over qdrant?
- Choose vespa over qdrant when vespa is primarily Java; qdrant is Rust; Vespa and Qdrant both offer solutions for vector similarity search, providing a scalable and performant way to handle large datasets with high-dimensional vectors; Tags unique to vespa: ai, big-data, java, rag; Also covers Data & Retrieval; Real-time indexing is critical.
- When should I avoid qdrant?
- If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions. When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.
- When should I avoid vespa?
- Prefer solutions with lower setup complexity Team lacks Java expertise or prefers alternative languages Require no real-time capabilities and can rely on batch processing
- Is qdrant or vespa more popular on GitHub?
- qdrant has more GitHub stars (34,655 vs 7,054). Stars measure visibility, not whether either tool fits your constraints.
- Are qdrant and vespa open source?
- Yes - both are open-source projects on GitHub (qdrant: Apache-2.0, vespa: Apache-2.0).
- Where can I find alternatives to qdrant or vespa?
- GraphCanon lists graph-backed alternatives at qdrant alternatives and vespa alternatives (qdrant markdown twin, vespa 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, qdrant or vespa?
- qdrant: Very active. vespa: 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 qdrant and vespa?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: qdrant trust report; vespa trust report.