Pachyderm

Pachyderm

Pachyderm is a data engineering platform that automates complex data pipelines with immutable data lineage, designed for MLOps and AI applications.

Location: United States
Software Type: Web App

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Description

Pachyderm is an advanced data engineering platform that specializes in automating complex data pipelines, particularly focused on MLOps and AI-driven solutions. Recently acquired by Hewlett Packard Enterprise, Pachyderm provides the following functionalities:

- Immutable Data Lineage: Track and manage data transformations with a complete history of changes, ensuring reproducibility and transparency in data handling.
- Event-Driven Pipelines: Automate data workflows based on events, allowing for real-time processing and enhanced productivity.
- Autoscaling: Dynamically adjust resources according to workload demands, enabling efficient processing without manual intervention.
- Deduplication: Automatically remove duplicate data entries to maintain data integrity and optimize storage usage.
- Multi-Cloud and On-Premise Support: Run Pachyderm on various cloud platforms or on-premise environments, providing flexibility in deployment.

Pachyderm emphasizes collaboration among data scientists and MLOps teams, making it suitable for industries such as healthcare, automotive, and media. Its robust architecture supports both structured and unstructured data types, facilitating the management of complex data workflows.

The platform is available in two editions: the Enterprise Edition, which includes advanced features and supports unlimited data-driven pipelines, and the Community Edition, targeted towards smaller teams looking for a comprehensive data-driven pipeline solution.

For more information, users can access documentation and support resources, as well as customer case studies that demonstrate the platform's impact across different sectors.

Features

Immutable Data Lineage

Ensures that all data transformations are tracked and reproducible, allowing teams to understand data changes over time.

Event-Driven Pipelines

Automates workflows based on real-time events, enhancing efficiency and responsiveness to changes in data.

Autoscaling

Automatically adjusts computing resources based on workload, ensuring optimal performance without manual management.

Deduplication

Eliminates duplicate data entries, supporting data integrity and efficient storage management.

Multi-Cloud Support

Compatible with various cloud providers and supports on-premise deployments, offering flexibility for diverse environments.

Community and Enterprise Editions

Offers different editions to suit diverse team sizes and project requirements, from small teams to large enterprises.

Tags

data engineeringMLOpsAIdata processingmachine learning

Documentation & Support

  • Documentation
  • Support
  • Updates
  • Online Support