Comparison
deeplake vs delta
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 delta if delta is an open-source storage framework providing ACID transactions for data lakehouse architectures designed to work seamlessly with various compute engines including Apache Spark, PrestoDB, Flink, Trino, and Hive.
Markdown twin · deeplake alternatives · delta alternatives
GraphCanon updated Sep 30, 2026
8views this month
vs
Trust & integrity
| Signal | deeplake | delta |
|---|---|---|
| Maintenance | Slowing (119d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 28, 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 28, 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
- delta
- An open-source storage framework for building Lakehouse architecture with various compute engines and APIs
Stars
- deeplake
- 9.2k
- delta
- 9.0k
Forks
- deeplake
- 722
- delta
- 2.2k
Open issues
- deeplake
- 67
- delta
- 972
Language
- deeplake
- C++
- delta
- Scala
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.
- delta
- Delta is an open-source storage framework providing ACID transactions for data lakehouse architectures designed to work seamlessly with various compute engines including Apache Spark, PrestoDB, Flink, Trino, and Hive.
Persona
- deeplake
- -
- delta
- -
Runtime
- deeplake
- -
- delta
- -
License
- deeplake
- Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution.
- delta
- Apache-2.0
Last pushed
- deeplake
- May 21, 2026
- delta
- Sep 28, 2026
Categories
- deeplake
- Data & Retrieval, Model Training, Vector Databases
- delta
- Data & Retrieval
Trust and health
Maintenance
- deeplake
- Slowing (36%)
- delta
- Very active (96%)
Days since push
- deeplake
- 119d
- delta
- 0d
Open issues (now)
- deeplake
- 67
- delta
- 972
Stars delta
- deeplake
- +15 (30d)
- delta
- +94 (30d)
Open issues delta
- deeplake
- +4 (30d)
- delta
- -581 (30d)
Full report
- deeplake
- Trust report
- delta
- Trust report
Choose deeplake if…
- deeplake is primarily C++; delta is Scala.
- 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..
- Tags unique to deeplake: agent, agentic-rag, ai, clawbot.
- Also covers Model Training, Vector Databases.
- 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 delta if…
- delta is primarily Scala; deeplake is C++.
- Tags unique to delta: acid, analytics, big-data, delta-lake.
- delta ships Docker support for self-hosted deployment.
- When you need ACID transaction support in a data lakehouse architecture leveraging Scala and multiple compute engines like Spark, Flink, or PrestoDB.
When NOT to use delta
- When your data operations environment is restricted to a single compute engine or one not supported by Delta, like Apache Drill which isn't in the listed support scope.
- If your project strictly uses open-source licenses incompatible with BSD-style licensing terms, as Delta uses Apache-2.0.
- For situations where there's no need for advanced data management capabilities such as ACID transactions and you can manage with simpler storage solutions.
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 (delta-io/delta) · observed Sep 28, 2026
- GitHub forks (delta-io/delta) · observed Sep 28, 2026
- Last push (delta-io/delta) · observed Sep 28, 2026
- License file (Apache-2.0) · observed Sep 28, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deeplake 9.2k · delta 9.0k (synced Sep 20, 2026).
Common questions
- What is the difference between deeplake and delta?
- deeplake: AI Data Runtime for Agents. delta: An open-source storage framework for building Lakehouse architecture with various compute engines and APIs. See the comparison table for live GitHub stats and shared categories.
- When should I choose deeplake over delta?
- Choose deeplake over delta when deeplake is primarily C++; delta is Scala; 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.; Tags unique to deeplake: agent, agentic-rag, ai, clawbot; Also covers Model Training, Vector Databases; When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.
- When should I choose delta over deeplake?
- Choose delta over deeplake when delta is primarily Scala; deeplake is C++; Tags unique to delta: acid, analytics, big-data, delta-lake; delta ships Docker support for self-hosted deployment; When you need ACID transaction support in a data lakehouse architecture leveraging Scala and multiple compute engines like Spark, Flink, or PrestoDB.
- 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 delta?
- When your data operations environment is restricted to a single compute engine or one not supported by Delta, like Apache Drill which isn't in the listed support scope. If your project strictly uses open-source licenses incompatible with BSD-style licensing terms, as Delta uses Apache-2.0. For situations where there's no need for advanced data management capabilities such as ACID transactions and you can manage with simpler storage solutions.
- Is deeplake or delta more popular on GitHub?
- deeplake has more GitHub stars (9,239 vs 9,022). Stars measure visibility, not whether either tool fits your constraints.
- Are deeplake and delta open source?
- Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, delta: Apache-2.0).
- Where can I find alternatives to deeplake or delta?
- GraphCanon lists graph-backed alternatives at deeplake alternatives and delta alternatives (deeplake markdown twin, delta 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 delta?
- deeplake: Slowing. delta: 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 delta?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deeplake trust report; delta trust report.