--- title: "pachyderm vs dvc" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pachyderm-pachyderm-vs-treeverse-dvc" tools: ["pachyderm-pachyderm", "treeverse-dvc"] --- # pachyderm vs dvc *GraphCanon updated Aug 3, 2026* ## Verdict Pick pachyderm if pachyderm offers a robust platform for managing data-centric pipelines and data versioning with advanced features suitable for analytics and big-data processing in distributed systems; pick dvc if dVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. [pachyderm](https://www.pachyderm.com/) reports 6.3k GitHub stars, 577 forks, and 939 open issues, last pushed Feb 3, 2025. [dvc](https://dvc.org) has 16k stars, 1.3k forks, and 196 open issues, last pushed Jul 31, 2026. Figures are from public GitHub metadata via [pachyderm's repository](https://github.com/pachyderm/pachyderm) and [dvc's repository](https://github.com/treeverse/dvc). | | [pachyderm](/tools/pachyderm-pachyderm.md) | [dvc](/tools/treeverse-dvc.md) | | --- | --- | --- | | Tagline | Data-Centric Pipelines and Data Versioning | Data Versioning and ML Experiments | | Stars | 6,300 | 15,787 | | Forks | 577 | 1,320 | | Open issues | 939 | 196 | | Language | Go | Python | | Adopt for | Pachyderm offers a robust platform for managing data-centric pipelines and data versioning with advanced features suitable for analytics and big-data processing in distributed systems. | DVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, Model Training | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pachyderm](/tools/pachyderm-pachyderm.md) | [dvc](/tools/treeverse-dvc.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 545d | 3d | | Open issues (now) | 939 | 196 | | Full report | [trust report](/tools/pachyderm-pachyderm/trust.md) | [trust report](/tools/treeverse-dvc/trust.md) | ## Decision facts: pachyderm - **Pricing:** unknown - The repository does not specify detailed pricing, but as an open-source tool under the Apache-2.0 license, it is freely available for use and modification. - **Requirements:** Min -1 GB RAM; Pachyderm deployment requires a Kubernetes cluster when deployed in production-scale environments. - **Adopt for:** Pachyderm offers a robust platform for managing data-centric pipelines and data versioning with advanced features suitable for analytics and big-data processing in distributed systems. ## Decision facts: dvc - **Adopt for:** DVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. ## Choose when ### Choose pachyderm if… - pachyderm is primarily Go; dvc is Python. - Pricing: The repository does not specify detailed pricing, but as an open-source tool under the Apache-2.0 license, it is freely available for use and modification.. - Requirements: Min -1 GB RAM; Pachyderm deployment requires a Kubernetes cluster when deployed in production-scale environments.. - Tags unique to pachyderm: analytics, big-data, containers, data-analysis. - Also covers Model Training. - If you need granular data lineage tracking within your projects, as Pachyderm ensures every transformation is captured. ### Choose dvc if… - dvc is primarily Python; pachyderm is Go. - Tags unique to dvc: ai, machine-learning, reproducibility, unstructured-data. - Also covers Data & Retrieval. - Need to manage large datasets while only syncing version information with Git ## When NOT to use pachyderm - If your organization does not require data versioning or cannot benefit from reproducibility features, such as for simple projects with minimal data mutation. - For scenarios where Docker container management overhead is undesirable; Pachyderm relies heavily on containers and Kubernetes, which might complicate smaller-scale workflows. - When immediate integration with non-Kubernetes environments is a must. Pachyderm's tight coupling with Kubernetes introduces additional complexity not present in more standalone tools. ## When NOT to use dvc - Looking for a GUI-focused tool for data versioning and analysis - Require full cloud orchestration services beyond basic DVCS capabilities - Project focuses on traditional software development with no ML involvement ## Common questions ### What is the difference between pachyderm and dvc? pachyderm: Data-Centric Pipelines and Data Versioning. dvc: Data Versioning and ML Experiments. See the comparison table for live GitHub stats and shared categories. ### When should I choose pachyderm over dvc? Choose pachyderm over dvc when pachyderm is primarily Go; dvc is Python; Pricing: The repository does not specify detailed pricing, but as an open-source tool under the Apache-2.0 license, it is freely available for use and modification.; Requirements: Min -1 GB RAM; Pachyderm deployment requires a Kubernetes cluster when deployed in production-scale environments.; Tags unique to pachyderm: analytics, big-data, containers, data-analysis; Also covers Model Training; If you need granular data lineage tracking within your projects, as Pachyderm ensures every transformation is captured. ### When should I choose dvc over pachyderm? Choose dvc over pachyderm when dvc is primarily Python; pachyderm is Go; Tags unique to dvc: ai, machine-learning, reproducibility, unstructured-data; Also covers Data & Retrieval; Need to manage large datasets while only syncing version information with Git. ### When should I avoid pachyderm? If your organization does not require data versioning or cannot benefit from reproducibility features, such as for simple projects with minimal data mutation. For scenarios where Docker container management overhead is undesirable; Pachyderm relies heavily on containers and Kubernetes, which might complicate smaller-scale workflows. When immediate integration with non-Kubernetes environments is a must. Pachyderm's tight coupling with Kubernetes introduces additional complexity not present in more standalone tools. ### When should I avoid dvc? Looking for a GUI-focused tool for data versioning and analysis Require full cloud orchestration services beyond basic DVCS capabilities Project focuses on traditional software development with no ML involvement ### Is pachyderm or dvc more popular on GitHub? dvc has more GitHub stars (15,787 vs 6,300). Stars measure visibility, not whether either tool fits your constraints. ### Are pachyderm and dvc open source? Yes - both are open-source projects on GitHub (pachyderm: Apache-2.0, dvc: Apache-2.0). ### Where can I find alternatives to pachyderm or dvc? GraphCanon lists graph-backed alternatives at [pachyderm alternatives](/tools/pachyderm-pachyderm/alternatives) and [dvc alternatives](/tools/treeverse-dvc/alternatives) ([pachyderm markdown twin](/tools/pachyderm-pachyderm/alternatives.md), [dvc markdown twin](/tools/treeverse-dvc/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/pachyderm-pachyderm-vs-treeverse-dvc.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pachyderm or dvc? pachyderm: Dormant. dvc: 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 pachyderm and dvc? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pachyderm trust report](/tools/pachyderm-pachyderm/trust); [dvc trust report](/tools/treeverse-dvc/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pachyderm-pachyderm`](/api/graphcanon/graph?tool=pachyderm-pachyderm) - 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/_