--- title: "deeplake vs delta" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activeloopai-deeplake-vs-delta-io-delta" tools: ["activeloopai-deeplake", "delta-io-delta"] --- # deeplake vs delta *GraphCanon updated Sep 30, 2026* ## 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. [deeplake](https://deeplake.ai) reports 9.2k GitHub stars, 722 forks, and 67 open issues, last pushed May 21, 2026. [delta](https://delta.io) has 9.0k stars, 2.2k forks, and 972 open issues, last pushed Sep 28, 2026. Figures are from public GitHub metadata via [deeplake's repository](https://github.com/activeloopai/deeplake) and [delta's repository](https://github.com/delta-io/delta). | | [deeplake](/tools/activeloopai-deeplake.md) | [delta](/tools/delta-io-delta.md) | | --- | --- | --- | | Tagline | AI Data Runtime for Agents | An open-source storage framework for building Lakehouse architecture with various compute engines and APIs | | Stars | 9,239 | 9,022 | | Forks | 722 | 2,185 | | Open issues | 67 | 972 | | Language | C++ | Scala | | Adopt for | 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 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 | - | - | | Runtime | - | - | | License | Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution. | Apache-2.0 | | Categories | Data & Retrieval, Model Training, Vector Databases | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deeplake](/tools/activeloopai-deeplake.md) | [delta](/tools/delta-io-delta.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 119d | 0d | | Open issues (now) | 67 | 972 | | Stars delta | +15 (30d) | +94 (30d) | | Open issues delta | +4 (30d) | -581 (30d) | | Full report | [trust report](/tools/activeloopai-deeplake/trust.md) | [trust report](/tools/delta-io-delta/trust.md) | ## Decision facts: deeplake - **Pricing:** freemium - 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. - **Adopt for:** Deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training. - **License detail:** Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution. ## Decision facts: delta - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/activeloopai-deeplake/alternatives) and [delta alternatives](/tools/delta-io-delta/alternatives) ([deeplake markdown twin](/tools/activeloopai-deeplake/alternatives.md), [delta markdown twin](/tools/delta-io-delta/alternatives.md)), 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](/compare/activeloopai-deeplake-vs-delta-io-delta.md) 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](/tools/activeloopai-deeplake/trust); [delta trust report](/tools/delta-io-delta/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=activeloopai-deeplake`](/api/graphcanon/graph?tool=activeloopai-deeplake) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_