Software Alternatives, Accelerators & Startups

AWS CodePipeline VS Pachyderm

Compare AWS CodePipeline VS Pachyderm and see what are their differences

AWS CodePipeline logo AWS CodePipeline

Continuous delivery service for fast and reliable application updates

Pachyderm logo Pachyderm

Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
  • AWS CodePipeline Landing page
    Landing page //
    2023-03-25
  • Pachyderm Landing page
    Landing page //
    2023-10-17

AWS CodePipeline videos

AWS CodePipeline tutorial | Build a CI/CD Pipeline on AWS

More videos:

  • Review - Introduction to AWS CodePipeline - Continuous Delivery on Amazon Web Services
  • Review - AWS CodePipeline | AWS CodeDeploy | AWS CodeBuild | CodeCommit | Deploy WebApp a Hands on Lab
  • Review - Streamline Your Software Release Process Using AWS CodePipeline

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 AWS CodePipeline and Pachyderm)
Continuous Integration
100 100%
0% 0
Data Science And Machine Learning
DevOps Tools
100 100%
0% 0
ETL
0 0%
100% 100

User comments

Share your experience with using AWS CodePipeline 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 AWS CodePipeline and Pachyderm

AWS CodePipeline Reviews

The Best Alternatives to Jenkins for Developers
AWS CodePipeline is a continuous integration and continuous delivery service that easily and quickly automates your release pipelines for updates. Every time you change the code, AWS CodePipeline will build, test, and deploy your application. Also, it can be easily integrated with GitHub.

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, AWS CodePipeline seems to be a lot more popular than Pachyderm. While we know about 28 links to AWS CodePipeline, we've tracked only 1 mention of Pachyderm. 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.

AWS CodePipeline mentions (28)

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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 AWS CodePipeline and Pachyderm, you can also consider the following products

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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.

Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.

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