Comparison
databend vs recipes
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 recipes if comprehensive notebooks covering Weaviate features including vector search, media search, multi-tenancy configurations and integration use cases.
Markdown twin · databend alternatives · recipes alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | databend | recipes |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (8d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · 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.
- recipes
- End-to-end notebooks for using Weaviate features and integrations.
Stars
- databend
- 9.4k
- recipes
- 944
Forks
- databend
- 891
- recipes
- 197
Open issues
- databend
- 557
- recipes
- 4
Language
- databend
- Rust
- recipes
- Jupyter Notebook
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.
- recipes
- Comprehensive notebooks covering Weaviate features including vector search, media search, multi-tenancy configurations and integration use cases.
Persona
- databend
- -
- recipes
- -
Runtime
- databend
- -
- recipes
- -
License
- databend
- Other
- recipes
- -
Last pushed
- databend
- Aug 21, 2026
- recipes
- Aug 13, 2026
Categories
- databend
- Data & Retrieval, Vector Databases
- recipes
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- databend
- Very active (96%)
- recipes
- Active (82%)
Days since push
- databend
- 0d
- recipes
- 8d
Open issues (now)
- databend
- 557
- recipes
- 4
Stars delta
- databend
- +31 (30d)
- recipes
- +3 (30d)
Open issues delta
- databend
- +23 (30d)
- recipes
- -2 (30d)
Full report
- databend
- Trust report
- recipes
- Trust report
Choose databend if…
- databend is primarily Rust; recipes is Jupyter Notebook.
- 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 recipes if…
- recipes is primarily Jupyter Notebook; databend is Rust.
- Tags unique to recipes: function-calling, generative-ai, llm frameworks, python.
- When you are specifically interested in exploring various integrations with cloud hyperscalers (Google, AWS), LLM frameworks (LangChain, LlamaIndex), and other technologies mentioned, such as Databri
When NOT to use recipes
- If you are looking for generalized vector database use case examples that do not specifically showcase Weaviate's unique integrations or features
- When your focus is on understanding and using broad category services instead of the specific, detailed examples and configurations available in the Weaviate ecosystem
- For cases where a competitor tool offers better support for other specific needs, such as more comprehensive integration with data platforms not specifically covered by Weaviate like MongoDB or Redis
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/recipes) · observed Aug 21, 2026
- GitHub forks (weaviate/recipes) · observed Aug 21, 2026
- Last push (weaviate/recipes) · observed Aug 13, 2026
- License file (unknown) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: databend 9.4k · recipes 944 (synced Aug 21, 2026).
Common questions
- What is the difference between databend and recipes?
- databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. recipes: End-to-end notebooks for using Weaviate features and integrations.. See the comparison table for live GitHub stats and shared categories.
- When should I choose databend over recipes?
- Choose databend over recipes when databend is primarily Rust; recipes is Jupyter Notebook; 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 recipes over databend?
- Choose recipes over databend when recipes is primarily Jupyter Notebook; databend is Rust; Tags unique to recipes: function-calling, generative-ai, llm frameworks, python; When you are specifically interested in exploring various integrations with cloud hyperscalers (Google, AWS), LLM frameworks (LangChain, LlamaIndex), and other technologies mentioned, such as Databri.
- 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 recipes?
- If you are looking for generalized vector database use case examples that do not specifically showcase Weaviate's unique integrations or features When your focus is on understanding and using broad category services instead of the specific, detailed examples and configurations available in the Weaviate ecosystem For cases where a competitor tool offers better support for other specific needs, such as more comprehensive integration with data platforms not specifically covered by Weaviate like MongoDB or Redis
- Is databend or recipes more popular on GitHub?
- databend has more GitHub stars (9,420 vs 944). Stars measure visibility, not whether either tool fits your constraints.
- Are databend and recipes open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to databend or recipes?
- GraphCanon lists graph-backed alternatives at databend alternatives and recipes alternatives (databend markdown twin, recipes 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 recipes?
- databend: Very active. recipes: 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 databend and recipes?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: databend trust report; recipes trust report.