Pachyderm

AI's Data Foundation.

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Overview

Pachyderm is a data foundation for AI that provides data versioning and data-driven pipelines. It is built on Kubernetes and allows teams to create scalable, reproducible, and automated machine learning workflows. Pachyderm's core features include versioning data like code (using a Git-like model), triggering pipelines automatically based on data changes, and providing a complete lineage of data, code, and models. This enables organizations to build complex, end-to-end MLOps pipelines with strong governance and reproducibility.

✨ Key Features

  • Data Versioning: Git-like version control for data.
  • Data-Driven Pipelines: Pipelines are triggered by changes in data.
  • Data Lineage: Complete history of data, code, and models.
  • Scalability: Built on Kubernetes for parallel processing.
  • Language Agnostic: Use any language or framework in your pipelines.
  • Reproducibility: Recreate any output with exact data and code versions.

🎯 Key Differentiators

  • Immutable, Git-like data versioning
  • Data-driven pipeline execution
  • Complete data lineage for governance and reproducibility

Unique Value: Provides a solid data foundation for AI by enabling scalable, reproducible, and automated MLOps pipelines with complete data versioning and lineage.

🎯 Use Cases (5)

Building reproducible MLOps pipelines Managing large-scale, complex data workflows Data governance and compliance in machine learning Automating data processing and model training Genomics and life sciences data analysis

✅ Best For

  • Creating auditable and reproducible machine learning systems
  • Processing and versioning large volumes of unstructured data

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Simple, non-critical ML projects that do not require data versioning or lineage
  • Teams without Kubernetes expertise

🏆 Alternatives

DVC Delta Lake Kubeflow MLflow

Offers a more robust and scalable solution for data versioning and pipelining compared to file-based tools like DVC, and provides stronger data-centric capabilities than general-purpose workflow orchestrators.

💻 Platforms

Self-hosted on Kubernetes

✅ Offline Mode Available

🔌 Integrations

Kubernetes S3 GCS Azure Blob Storage Jupyter Kubeflow Seldon

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Phone Support
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ SOC 2 ✓ HIPAA ✓ BAA Available ✓ GDPR ✓ SSO

💰 Pricing

Contact for pricing
Free Tier Available

✓ 14-day free trial

Free tier: A free, open-source community edition is available.

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