The Leader in Data Versioning and Pipelines for MLOps
Pachyderm automates and scales the machine learning lifecycle while guaranteeing reproducibility
- Data Driven Automation
- Petabyte Scalability
- End-to-End Reproducibility
Case Studies (?)
Unstructured Data
Pachyderm specializes in unstructured data that makes AI-driven business models possible.
Learn MoreNatural Language Processing (NLP) with Pachyderm
Accelerate NLP development with data driven automation.
Learn MoreVideo & Image ETL at Scale with Pachyderm
Easily handle the largest unstructured and structured data sets.
Learn MoreFeatures
Rapidly productionize and scale your machine learning lifecycle.
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Automated Data Versioning
Pachyderm’s Data Versioning gives teams an automated and performant way to keep track of all data changes
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Data Driven Pipelines
Pachyderm’s Containerized Pipelines speed data processing while lowering compute costs
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Immutable Data Lineage
Pachyderm’s data lineage provides an immutable record for all activities and assets in the ML lifecycle
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Console
The Pachyderm Console provides an intuitive visualization of your DAG (directed acyclic graph), and associated pipelines to assist in the design and debugging of data processing workflows
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Notebooks
Pachyderm’s JupyterLab Mount Extension provides a point-and-click interface to Pachyderm versioned data
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Enterprise Administration
Pachyderm provides robust tools for deploying and administering Pachyderm at scale across different teams in your organization
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What is Pachyderm
Enterprise Edition
Pachyderm Enterprise Edition is designed for large-scale collaboration in highly secure environments.
Learn MoreCommunity Edition
This is our open source version of Pachyderm. With Pachyderm Community Edition you get the core Data Versioning and Pipeline features of Pachyderm, and can deploy locally or in the cloud of your choosing.
Learn MoreTestimonials
All over the world data scientists and ML engineers are discovering how much better applied data science can be when Pachyderm is involved. Here’s just a few examples of they’re saying.