Comparison
deeplake vs databend
Verdict
Pick deeplake if deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training; 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.
Markdown twin · deeplake alternatives · databend alternatives
GraphCanon updated Sep 30, 2026
24views this month
vs
Trust & integrity
| Signal | deeplake | databend |
|---|---|---|
| Maintenance | Slowing (119d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 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 Sep 20, 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
- deeplake
- AI Data Runtime for Agents
- databend
- All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.
Stars
- deeplake
- 9.2k
- databend
- 9.4k
Forks
- deeplake
- 722
- databend
- 897
Open issues
- deeplake
- 67
- databend
- 510
Language
- deeplake
- C++
- databend
- Rust
Adopt for
- deeplake
- Deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training.
- databend
- Data Agent Ready Warehouse built in Rust for analytics, search, AI, and more within a unified architecture on top of your S3 storage.
Persona
- deeplake
- -
- databend
- -
Runtime
- deeplake
- -
- databend
- -
License
- deeplake
- Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution.
- databend
- Other
Last pushed
- deeplake
- May 21, 2026
- databend
- Sep 20, 2026
Categories
- deeplake
- Data & Retrieval, Model Training, Vector Databases
- databend
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- deeplake
- Slowing (36%)
- databend
- Very active (96%)
Days since push
- deeplake
- 119d
- databend
- 0d
Open issues (now)
- deeplake
- 67
- databend
- 510
Stars delta
- deeplake
- +15 (30d)
- databend
- +55 (30d)
Open issues delta
- deeplake
- +4 (30d)
- databend
- -24 (30d)
Full report
- deeplake
- Trust report
- databend
- Trust report
Typed relationship
deeplake alternative databendDeeplake and Databend both aim to provide scalable data management solutions, though Deeplake focuses on a multimodal datalake with support for AI agents, while Databend is more oriented towards enterprise data warehousing.
Choose deeplake if…
- deeplake is primarily C++; databend is Rust.
- License: deeplake is Apache-2.0, databend is Other.
- Pricing: Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository..
- Requirements: Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments..
- Deeplake and Databend both aim to provide scalable data management solutions, though Deeplake focuses on a multimodal datalake with support for AI agents, while Databend is more oriented towards enterprise data warehousing.
- Tags unique to deeplake: agent, agentic-rag, clawbot, computer-vision.
- Also covers Model Training.
- When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.
When NOT to use deeplake
- If your project does not require serverless PostgreSQL or multimodal data handling capabilities.
- When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++.
- If your use case does not benefit from the specific integration of PostgreSQL with a data lake, and you prefer a more traditional database setup.
Choose databend if…
- databend is primarily Rust; deeplake is C++.
- License: databend is Other, deeplake is Apache-2.0.
- Deeplake and Databend both aim to provide scalable data management solutions, though Deeplake focuses on a multimodal datalake with support for AI agents, while Databend is more oriented towards enterprise data warehousing.
- Tags unique to databend: bigdata, cloud-native, database, elasticsearch.
- - 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (activeloopai/deeplake) · observed Sep 20, 2026
- GitHub forks (activeloopai/deeplake) · observed Sep 20, 2026
- Last push (activeloopai/deeplake) · observed May 21, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (databendlabs/databend) · observed Sep 20, 2026
- GitHub forks (databendlabs/databend) · observed Sep 20, 2026
- Last push (databendlabs/databend) · observed Sep 20, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deeplake 9.2k · databend 9.4k (synced Sep 20, 2026).
Common questions
- What is the difference between deeplake and databend?
- deeplake: AI Data Runtime for Agents. databend: All-in-One Data Warehouse: Analytics, Search, AI, and Python Sandboxing Reimagined From Scratch.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deeplake over databend?
- Choose deeplake over databend when deeplake is primarily C++; databend is Rust; License: deeplake is Apache-2.0, databend is Other; Pricing: Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository.; Requirements: Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments.; Deeplake and Databend both aim to provide scalable data management solutions, though Deeplake focuses on a multimodal datalake with support for AI agents, while Databend is more oriented towards enterprise data warehousing; Tags unique to deeplake: agent, agentic-rag, clawbot, computer-vision; Also covers Model Training; When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.
- When should I choose databend over deeplake?
- Choose databend over deeplake when databend is primarily Rust; deeplake is C++; License: databend is Other, deeplake is Apache-2.0; Deeplake and Databend both aim to provide scalable data management solutions, though Deeplake focuses on a multimodal datalake with support for AI agents, while Databend is more oriented towards enterprise data warehousing; Tags unique to databend: bigdata, cloud-native, database, elasticsearch; - 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 avoid deeplake?
- If your project does not require serverless PostgreSQL or multimodal data handling capabilities. When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++. If your use case does not benefit from the specific integration of PostgreSQL with a data lake, and you prefer a more traditional database setup.
- 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.
- Is deeplake or databend more popular on GitHub?
- databend has more GitHub stars (9,444 vs 9,239). Stars measure visibility, not whether either tool fits your constraints.
- Are deeplake and databend open source?
- Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, databend: Other).
- Where can I find alternatives to deeplake or databend?
- GraphCanon lists graph-backed alternatives at deeplake alternatives and databend alternatives (deeplake markdown twin, databend 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, deeplake or databend?
- deeplake: Slowing. databend: 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 deeplake and databend?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deeplake trust report; databend trust report.