Comparison
databend vs weaviate-examples
Verdict
Pick databend if data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage; pick weaviate-examples if weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications.
Markdown twin · databend alternatives · weaviate-examples alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | databend | weaviate-examples |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Dormant (380d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 2d · 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
- databend
- All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.
- weaviate-examples
- Weaviate vector database – examples
Stars
- databend
- 9.4k
- weaviate-examples
- 331
Forks
- databend
- 891
- weaviate-examples
- 86
Open issues
- databend
- 557
- weaviate-examples
- 12
Language
- databend
- Rust
- weaviate-examples
- HTML
Adopt for
- databend
- Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage.
- weaviate-examples
- weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications.
Persona
- databend
- -
- weaviate-examples
- -
Runtime
- databend
- -
- weaviate-examples
- -
License
- databend
- Other
- weaviate-examples
- MIT
Last pushed
- databend
- Aug 21, 2026
- weaviate-examples
- Aug 7, 2025
Categories
- databend
- Data & Retrieval, Vector Databases
- weaviate-examples
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- databend
- Very active (96%)
- weaviate-examples
- Dormant (18%)
Days since push
- databend
- 0d
- weaviate-examples
- 380d
Open issues (now)
- databend
- 557
- weaviate-examples
- 12
Stars delta
- databend
- +31 (30d)
- weaviate-examples
- -1 (30d)
Open issues delta
- databend
- +23 (30d)
- weaviate-examples
- 0 (30d)
Full report
- databend
- Trust report
- weaviate-examples
- Trust report
Choose databend if…
- databend is primarily Rust; weaviate-examples is HTML.
- License: databend is Other, weaviate-examples is MIT.
- Tags unique to databend: ai, bigdata, cloud-native, database.
- - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions.
When NOT to use databend
- - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem.
- - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts.
- - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers.
Choose weaviate-examples if…
- weaviate-examples is primarily HTML; databend is Rust.
- License: weaviate-examples is MIT, databend is Other.
- Tags unique to weaviate-examples: deep-learning, examples, vector-database, vector-search.
- You aim to integrate vector search capabilities into your deep-learning projects and need hands-on examples to understand functionality.
When NOT to use weaviate-examples
- Your project utilizes a different vector database that aligns better with its specific requirements, such as more customizability in indexing.
- You seek general tutorial material on deep learning without the context of Weaviate's implementation specifics.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (databendlabs/databend) · observed Aug 21, 2026
- GitHub forks (databendlabs/databend) · observed Aug 21, 2026
- Last push (databendlabs/databend) · observed Aug 21, 2026
- License file (Other) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (weaviate/weaviate-examples) · observed Aug 23, 2026
- GitHub forks (weaviate/weaviate-examples) · observed Aug 23, 2026
- Last push (weaviate/weaviate-examples) · observed Aug 7, 2025
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: databend 9.4k · weaviate-examples 331 (synced Aug 21, 2026).
Common questions
- What is the difference between databend and weaviate-examples?
- databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. weaviate-examples: Weaviate vector database – examples. See the comparison table for live GitHub stats and shared categories.
- When should I choose databend over weaviate-examples?
- Choose databend over weaviate-examples when databend is primarily Rust; weaviate-examples is HTML; License: databend is Other, weaviate-examples is MIT; Tags unique to databend: ai, bigdata, cloud-native, database; - When you need a unified data platform that can handle analytics, search, and AI all from one interface, with support for vector database functions.
- When should I choose weaviate-examples over databend?
- Choose weaviate-examples over databend when weaviate-examples is primarily HTML; databend is Rust; License: weaviate-examples is MIT, databend is Other; Tags unique to weaviate-examples: deep-learning, examples, vector-database, vector-search; You aim to integrate vector search capabilities into your deep-learning projects and need hands-on examples to understand functionality.
- When should I avoid databend?
- - When specific integration requirements are outside of S3 support, as Databend focuses on this particular ecosystem. - For organizations that cannot or prefer not to use technologies built in Rust due to team expertise or existing tech stack conflicts. - If your primary need is for a solution that heavily integrates with Elasticsearch given the competitive landscape and features it offers.
- When should I avoid weaviate-examples?
- Your project utilizes a different vector database that aligns better with its specific requirements, such as more customizability in indexing. You seek general tutorial material on deep learning without the context of Weaviate's implementation specifics.
- Is databend or weaviate-examples more popular on GitHub?
- databend has more GitHub stars (9,420 vs 331). Stars measure visibility, not whether either tool fits your constraints.
- Are databend and weaviate-examples open source?
- Yes - both are open-source projects on GitHub (databend: Other, weaviate-examples: MIT).
- Where can I find alternatives to databend or weaviate-examples?
- GraphCanon lists graph-backed alternatives at databend alternatives and weaviate-examples alternatives (databend markdown twin, weaviate-examples 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, databend or weaviate-examples?
- databend: Very active. weaviate-examples: Dormant. 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 databend and weaviate-examples?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: databend trust report; weaviate-examples trust report.