Software Alternatives, Accelerators & Startups

OpenShift Container Platform VS Pachyderm

Compare OpenShift Container Platform VS Pachyderm and see what are their differences

OpenShift Container Platform logo OpenShift Container Platform

Red Hat OpenShift Container Platform is the secure and comprehensive enterprise-grade container platform based on industry standards, Docker and Kubernetes.

Pachyderm logo Pachyderm

Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
  • OpenShift Container Platform Landing page
    Landing page //
    2023-10-04
  • Pachyderm Landing page
    Landing page //
    2023-10-17

OpenShift Container Platform videos

OpenShift Container Platform by RedHat | Kubernetes Made Easy | Tech Primers

Pachyderm videos

TuneUp iTunes library tool - Pachyderm Review

More videos:

  • Review - Enabling reproducibility at scale with R and Pachyderm
  • Review - 2019 Claypool Cellars Purple Pachyderm Pinot Noir Rosé Wine Review
  • Demo - Intro to Pachyderm | The Data Foundation for Machine Learning
  • Tutorial - How to Use Pachyderm - Beginner's Tutorial Walkthrough

Category Popularity

0-100% (relative to OpenShift Container Platform and Pachyderm)
Developer Tools
89 89%
11% 11
Data Science And Machine Learning
Containers As A Service
100 100%
0% 0
ETL
0 0%
100% 100

User comments

Share your experience with using OpenShift Container Platform and Pachyderm. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare OpenShift Container Platform and Pachyderm

OpenShift Container Platform Reviews

11 Best Rancher Alternatives Multi Cluster Orchestration Platform
On the flip side, the OpenShift Container Platform is a powerful commercialized tool introduced by Red Hat as flagship software. It boasts a very simple and intuitive user interface that lets you easily create, build, test, and deploy your applications directly to the cloud.

Pachyderm Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Pachyderm: This is another great alternative to tools like Airflow. Here's a great GitHub writeup about some of the simple differences between Airflow and Pachyderm. Note: Paychyderm has an open-source edition on their website.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pachyderm seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OpenShift Container Platform mentions (0)

We have not tracked any mentions of OpenShift Container Platform yet. Tracking of OpenShift Container Platform recommendations started around Mar 2021.

Pachyderm mentions (1)

  • Proton Is Trying to Become Google–Without Your Data
    > Work: https://pachyderm.com/ Well, I know what I'm not using if I ever have a need for an ML pipeline. - Source: Hacker News / about 2 years ago

What are some alternatives?

When comparing OpenShift Container Platform and Pachyderm, you can also consider the following products

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

9 Spokes - 9 Spokes is a free data dashboard that connects your apps to identify powerful insights to deliver your business KPI's.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

Pepperdata - Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.