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Version-Controlled Data Pipelines

Pachyderm is data-focused from the ground up, enabling data engineering teams to automate containerized data pipelines for any code and any data.

Why Pachyderm over Databricks?

Data-driven pipelines are automatically triggered based on detecting data changes.

Fully integrated version control for your pipelines and data - roll back to previous pipelines as needed. 

Freedom to use any language with code agnostic, containerized pipelines. 

Immutable data lineage with data versioning of any data type. 

Autoscaling and parallel processing built on Kubernetes for resource orchestration.

Uses standard object stores for data storage with automatic deduplication. 

Runs across all major cloud providers and on-premises installations.

Enterprise support from Pachyderm's Customer Engineering Team

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The CI/CD Engine for Data

Automatic Data-Driven Pipelines

Automatically trigger pipelines based on data changes.

Orchestrate batch or real-time data pipelines from any data source.

Diff-based automation just like a CI/CD system but for data.

Data and Process Deduplication

Versioned data is automatically deduplicated.

Intelligently process only modified data and dependencies. 

Track every change to your data and pipelines automatically as you work. 

Autoscaled Parallelized  Processing

Autoscale jobs up and down based on resource demand.

Automatically parallelized processing of large data sets.

Full process visibility and monitoring using Kubernetes-native tools.

Reproducibility

Ensure reproducibility and compliance via immutable data lineage and data versioning for any type of data.

Increase team efficiency and collaboration via git-like structure of commits, branches, and data repositories.

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Immutable Data Lineage

All data and pipeline code is versioned providing an immutable record for all activities and assets. 

Track any result all the way back to its raw input. 

Full versioning for metadata including all analysis, parameters, artifacts, models, and intermediate results. 

Data Version Control

Automatic and intelligent versioning of even the largest data sets of unstructured and structured data. 

Git-like structure enables effective team collaboration. 

Diff between two commits of data to debug data, code, or model failures more efficiently.

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Cost-Effective Scalability

Deliver reliable results optimizing resource utilization and maximizing developer efficiency.

Run complex data pipelines with sophisticated data transformations with auto scaling and parallelism.

Deduplication of data and code saves infrastructure costs.

Flexibility 

Leverage your infrastructure investments and run on your existing cloud or on-premises infrastructure.

Run again any type, size, or scale of data in both batch or real-time pipelines.

Support effective team collaboration through git-like structure of commits.

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 Enterprise Administration

Robust tools for deploying and administering Pachyderm at scale across different teams in your organization.

Centralized licensing and administration of all clusters.

Authentication against any OIDC provider.

Role based access control (RBAC) support for governance and data privacy.

Pachyderm is a seamless complement to our pipeline and processes. It already has built-in, ready-to-go systems for managing commit history, automatically tracking datum status, and it can reliably restart a process and keep the state of the overall pipeline consistent. And, of course, everyone has experienced an inability to roll back or snapshot data and Pachyderm just makes that easy and automatic. You don't have to think about it. It just does it right out of the box.

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