Pachyderm helps us build automotive-grade maps for use in the automated-driving vehicles of today and the autonomous-driving vehicles of tomorrow. Developing this level of granularity requires processing voluminous amounts of data at scale with …

Pachyderm Documentation. Learn how to get up and running with Pachyderm through guides, tutorials, SDKs, and reference articles.

Pachyderm's containerized pipelines and data-first approach makes it the bedrock for your MLOps stack. See the ecosystem + our integrations.

Visit the Pachyderm documentation home page and get quick access to information, tutorials, quickstarts, user guides, and reference material. Discover how our platform provides a secure, scalable, and version-controlled solution for storing and processing large amounts of data through its most basic concepts.

Pachyderm's data-driven pipelines and immutable data lineage provide data engineering teams with unparalleled scalability, reproducibility, and version control.

Schedule a technical deep dive on Pachyderm tailored for your environment and use case. Why Pachyderm? Pachyderm is cost-effective at scale, enabling data engineering teams to automate complex pipelines with sophisticated data transformations across any type of data.

Pachyderm is a data science platform that provides data-driven pipelines with version control and autoscaling. It is container-native, allowing developers to use the languages and libraries that are best suited to their needs, and runs across all major …

Visit the Pachyderm documentation home page and get quick access to information, tutorials, quickstarts, user guides, and reference material. Learn about the Pipeline System and how to define pipelines in YAML for data transformation and processing, including datums, jobs, and advanced glob patterns.

Pachyderm is container-native, running with standard containerized tooling and allows engineers complete autonomy to use whatever languages or libraries are best for the job. Pachyderm is data-agnostic, supporting both unstructured data such as videos and images as well as tabular data from data warehouses.

A pipeline is a Pachyderm primitive responsible for reading data from a specified source, such as a Pachyderm repo, transforming it according to the pipeline specification, and writing the result to an output repo.