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Comparison

databend vs infinity

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 infinity if designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types.

Markdown twin · databend alternatives · infinity alternatives

GraphCanon updated 2d

databend logo

databend

databendlabs/databend

9.4kpushed Aug 21, 2026
vs
infinity logo

infinity

infiniflow/infinity

4.7kpushed Aug 17, 2026

Trust & integrity

Signaldatabendinfinity
Maintenance
Very active (0d since push)
As of 2d · github_public_v1
Very active (3d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Organization account
As of 2d · 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.
infinity
AI-native database for LLM applications offering fast hybrid search capabilities.

Stars

databend
9.4k
infinity
4.7k

Forks

databend
891
infinity
437

Open issues

databend
557
infinity
64

Language

databend
Rust
infinity
C++

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.
infinity
Designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types.

Persona

databend
-
infinity
-

Runtime

databend
-
infinity
-

License

databend
Other
infinity
Apache-2.0

Last pushed

databend
Aug 21, 2026
infinity
Aug 17, 2026

Categories

databend
Data & Retrieval, Vector Databases
infinity
Data & Retrieval, Vector Databases

Trust and health

Days since push

databend
0d
infinity
3d

Open issues (now)

databend
557
infinity
64

Stars delta

databend
+31 (30d)
infinity
+51 (30d)

Open issues delta

databend
+23 (30d)
infinity
-2 (30d)

Full report

databend
Trust report
infinity
Trust report

Typed relationship

databend alternative infinityDatabend and infinity both provide data warehousing capabilities for AI workloads, including hybrid search of dense vector, sparse vector, full-text, and more.

Choose databend if…

  • databend is primarily Rust; infinity is C++.
  • License: databend is Other, infinity is Apache-2.0.
  • Databend and infinity both provide data warehousing capabilities for AI workloads, including hybrid search of dense vector, sparse vector, full-text, and more.
  • 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 infinity if…

  • infinity is primarily C++; databend is Rust.
  • License: infinity is Apache-2.0, databend is Other.
  • Databend and infinity both provide data warehousing capabilities for AI workloads, including hybrid search of dense vector, sparse vector, full-text, and more.
  • Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20.
  • When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts.

When NOT to use infinity

  • If your project does not benefit from fast hybrid search features or if you prefer not to use an AI-native database solution.
  • When support for only dense vectors is sufficient, and the added complexity of supporting tensors and full texts is unnecessary.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: databend 9.4k · infinity 4.7k (synced Aug 21, 2026).

Common questions

What is the difference between databend and infinity?
databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. infinity: AI-native database for LLM applications offering fast hybrid search capabilities.. See the comparison table for live GitHub stats and shared categories.
When should I choose databend over infinity?
Choose databend over infinity when databend is primarily Rust; infinity is C++; License: databend is Other, infinity is Apache-2.0; Databend and infinity both provide data warehousing capabilities for AI workloads, including hybrid search of dense vector, sparse vector, full-text, and more; 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 infinity over databend?
Choose infinity over databend when infinity is primarily C++; databend is Rust; License: infinity is Apache-2.0, databend is Other; Databend and infinity both provide data warehousing capabilities for AI workloads, including hybrid search of dense vector, sparse vector, full-text, and more; Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20; When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts.
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 infinity?
If your project does not benefit from fast hybrid search features or if you prefer not to use an AI-native database solution. When support for only dense vectors is sufficient, and the added complexity of supporting tensors and full texts is unnecessary.
Is databend or infinity more popular on GitHub?
databend has more GitHub stars (9,420 vs 4,675). Stars measure visibility, not whether either tool fits your constraints.
Are databend and infinity open source?
Yes - both are open-source projects on GitHub (databend: Other, infinity: Apache-2.0).
Where can I find alternatives to databend or infinity?
GraphCanon lists graph-backed alternatives at databend alternatives and infinity alternatives (databend markdown twin, infinity 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 infinity?
databend: Very active. infinity: 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 databend and infinity?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: databend trust report; infinity trust report.

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