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HOTROD is a general-purpose data processing platform, built to simplify data engineering workloads — namely the ingestion, transformation, and movement of data from source to destination.

The platform provides an integrated solution for the following functions:

  1. Defining data processing workloads in a consistent, repeatable manner, using Pipe Language

  2. Using Agents to run the required Pipe workloads.

  3. Scaling workloads across multiple hosts, both on-premises and in the cloud.

  4. Managing and monitoring Pipe processes by collecting and analyzing metrics during their execution.

Designed to address data processing challenges, it offers the following unique advantages: 

  1. All data processing workloads are defined in readable YAML format, using Pipe Language. The shallow learning curve allows for new data processing tasks to be set up and implemented quickly and easily.

  2. The architecture makes it easy to scale and distribute centrally managed data processing workloads.

  3. Being self-hosted and self-managed, the highest levels of security and privacy can be implemented. You have complete control over data sovereignty and data residency.

A wide range of data sources and destinations common to modern data engineering use cases is supported. Although primarily designed to handle streaming data and continuous (or near-continuous) workloads, most batch and ETL (Extract, Transform, Load) tasks can also be handled.