Comparison
vespa vs weaviate
Verdict
Pick vespa if vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval; pick weaviate if weaviate is an open-source vector database that supports vector search and structured filtering, offering fault tolerance and scalability. It supports deployment via Docker, Kubernetes, and cloud services.
Markdown twin · vespa alternatives · weaviate alternatives
GraphCanon updated Sep 20, 2026
16views this month
Trust & integrity
| Signal | vespa | weaviate |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 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
- vespa
- The AI search platform
- weaviate
- An open-source vector database for vector search and structured filtering
Stars
- vespa
- 7.1k
- weaviate
- 17k
Forks
- vespa
- 732
- weaviate
- 1.4k
Open issues
- vespa
- 250
- weaviate
- 735
Language
- vespa
- Java
- weaviate
- Go
Adopt for
- vespa
- Vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval.
- weaviate
- Weaviate is an open-source vector database that supports vector search and structured filtering, offering fault tolerance and scalability. It supports deployment via Docker, Kubernetes, and cloud services.
Persona
- vespa
- -
- weaviate
- -
Runtime
- vespa
- -
- weaviate
- -
License
- vespa
- Apache-2.0
- weaviate
- Other
Last pushed
- vespa
- Aug 18, 2026
- weaviate
- Sep 18, 2026
Categories
- vespa
- Data & Retrieval, Vector Databases
- weaviate
- Data & Retrieval, Vector Databases
Trust and health
Open issues (now)
- vespa
- 250
- weaviate
- 735
Stars delta
- vespa
- +34 (30d)
- weaviate
- +138 (30d)
Open issues delta
- vespa
- +7 (30d)
- weaviate
- +115 (30d)
OSV dependency advisories
- vespa
- No lockfile (source not queried)
- weaviate
- Published findings
Full report
- vespa
- Trust report
- weaviate
- Trust report
Typed relationship
Choose vespa if…
- vespa is primarily Java; weaviate is Go.
- License: vespa is Apache-2.0, weaviate is Other.
- Vespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined
- Tags unique to vespa: ai, big-data, java, machine-learning.
- 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
Choose weaviate if…
- weaviate is primarily Go; vespa is Java.
- License: weaviate is Other, vespa is Apache-2.0.
- Vespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined
- Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, hnsw, hybrid-search.
- weaviate ships Docker support for self-hosted deployment.
- When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.
When NOT to use weaviate
- If your project strictly requires a proprietary solution, Weaviate, being open-source under the BSD 3-Clause License, may not be the best fit.
- If your application does not require vector search or structured filtering, Weaviate's specialized capabilities might be overkill.
- For teams that prefer a different programming language, Weaviate is primarily developed in Go, which might not align with all development environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (weaviate/weaviate) · observed Sep 20, 2026
- GitHub forks (weaviate/weaviate) · observed Sep 20, 2026
- Last push (weaviate/weaviate) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: vespa 7.1k · weaviate 17k (synced Sep 20, 2026).
Common questions
- What is the difference between vespa and weaviate?
- vespa: The AI search platform. weaviate: An open-source vector database for vector search and structured filtering. See the comparison table for live GitHub stats and shared categories.
- When should I choose vespa over weaviate?
- Choose vespa over weaviate when vespa is primarily Java; weaviate is Go; License: vespa is Apache-2.0, weaviate is Other; Vespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined; Tags unique to vespa: ai, big-data, java, machine-learning; Real-time indexing is critical.
- When should I choose weaviate over vespa?
- Choose weaviate over vespa when weaviate is primarily Go; vespa is Java; License: weaviate is Other, vespa is Apache-2.0; Vespa and Weaviate are both tools that support high-performance search functionalities, but they differ in their core capabilities. Vespa is a comprehensive platform for operations such as search, recommendation, and personalization, while Weaviate specializes in semantic search by storing objects alongside vectors, integrating various embedding models to enable vector similarity searches combined; Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, hnsw, hybrid-search; weaviate ships Docker support for self-hosted deployment; When you need a vector database that supports both vector search and structured filtering, as Weaviate uniquely combines these capabilities.
- 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
- When should I avoid weaviate?
- If your project strictly requires a proprietary solution, Weaviate, being open-source under the BSD 3-Clause License, may not be the best fit. If your application does not require vector search or structured filtering, Weaviate's specialized capabilities might be overkill. For teams that prefer a different programming language, Weaviate is primarily developed in Go, which might not align with all development environments.
- Is vespa or weaviate more popular on GitHub?
- weaviate has more GitHub stars (16,819 vs 7,054). Stars measure visibility, not whether either tool fits your constraints.
- Are vespa and weaviate open source?
- Yes - both are open-source projects on GitHub (vespa: Apache-2.0, weaviate: Other).
- Where can I find alternatives to vespa or weaviate?
- GraphCanon lists graph-backed alternatives at vespa alternatives and weaviate alternatives (vespa markdown twin, weaviate 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, vespa or weaviate?
- vespa: Very active. weaviate: 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 vespa and weaviate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vespa trust report; weaviate trust report.