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What is Pachyderm?

Pachyderm is for data science teams who want to operationalize the data tasks in their ML lifecycle to iterate on data more quickly and reliably. Pachyderm supports data versioning and pipelines for MLOps, and this data foundation allows data science teams to automate and scale their machine learning lifecycle while guaranteeing reproducibility. Pachyderm provides data-driven automation, petabyte scalability and end-to-end reproducibility.

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Categories & Use Cases

Media

Screenshot of Automated Data Versioning - Pachyderm’s Data Versioning gives teams an automated and performant way to keep track of all data changes
Screenshot of Data-Driven Pipelines - Pachyderm’s Containerized Pipelines speed data processing while lowering compute costs
Screenshot of Immutable Data Lineage - Pachyderm’s Data Lineage provides an immutable record for all activities and assets in the ML lifecycle
Screenshot of Console - The Pachyderm Console provides an intuitive visualization of your DAG (directed acyclic graph) and aids in reproducibility
Screenshot of Notebooks - Pachyderm’s JupyterLab Mount Extension provides a point-and-click interface to Pachyderm versioned data
Screenshot of Enterprise Administration - Pachyderm provides robust tools for deploying and administering Pachyderm at scale across different teams in your organization

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Screenshot of Automated Data Versioning - Pachyderm’s Data Versioning gives teams an automated and performant way to keep track of all data changes

Who Buys & Uses Pachyderm