Software Alternatives, Accelerators & Startups

Metaflow VS IBM Workload Automation

Compare Metaflow VS IBM Workload Automation and see what are their differences

Metaflow logo Metaflow

Framework for real-life data science; build, improve, and operate end-to-end workflows.

IBM Workload Automation logo IBM Workload Automation

IBM Workload Automation helps increase productivity and governance of enterprise business workloads with hybrid automation and applied analytics.
  • Metaflow Landing page
    Landing page //
    2023-03-03
  • IBM Workload Automation Landing page
    Landing page //
    2023-03-28

Metaflow videos

useR! 2020: End-to-end machine learning with Metaflow (S. Goyal, B. Galvin, J. Ge), tutorial

More videos:

  • Review - Screencast: Metaflow Sandbox Example

IBM Workload Automation videos

IBM Workload Automation Roadmap and Strategy Update

Category Popularity

0-100% (relative to Metaflow and IBM Workload Automation)
DevOps Tools
100 100%
0% 0
IT Automation
0 0%
100% 100
Workflow Automation
40 40%
60% 60
Workflows
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Metaflow and IBM Workload Automation

Metaflow Reviews

Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Metaflow enables you to define your pipeline as a child class of FlowSpec that includes class methods with step decorators in Python code.
Source: medium.com

IBM Workload Automation Reviews

9 Control-M Alternatives & Competitors In 2023
Verdict: IBM Workload Automation has been designed to simplify business, operational, and IT workflows. It is also capable of orchestrating event-driven and unattended workloads. Its user-friendly interface provides graphical views and embedded analytics that allow users to make data-driven decisions.

Social recommendations and mentions

Based on our record, Metaflow seems to be more popular. It has been mentiond 12 times 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.

Metaflow mentions (12)

  • What are some open-source ML pipeline managers that are easy to use?
    I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 1 year ago
  • Needs advice for choosing tools for my team. We use AWS.
    1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago
  • Selfhosted chatGPT with local contente
    Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: over 1 year ago
  • [OC] Gender diversity in Tech companies
    They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago
  • Going to Production with Github Actions, Metaflow and AWS SageMaker
    Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / almost 2 years ago
View more

IBM Workload Automation mentions (0)

We have not tracked any mentions of IBM Workload Automation yet. Tracking of IBM Workload Automation recommendations started around Mar 2021.

What are some alternatives?

When comparing Metaflow and IBM Workload Automation, you can also consider the following products

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Control-M - Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

Stonebranch - Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.

Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.

JAMS Scheduler - Enterprise workload automation software supporting processes on Windows, Linux, UNIX, iSeries, SAP, Oracle, SQL, ERPs and more.