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Stonebranch VS Metaflow

Compare Stonebranch VS Metaflow and see what are their differences

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Stonebranch logo 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.

Metaflow logo Metaflow

Framework for real-life data science; build, improve, and operate end-to-end workflows.
  • Stonebranch Landing Page
    Landing Page //
    2024-01-22
  • Stonebranch Drag-and-Drop Workflow
    Drag-and-Drop Workflow //
    2024-01-22
  • Stonebranch Integrated Dashboard
    Integrated Dashboard //
    2024-01-22

No matter the degree of automation, the Stonebranch platform is simple, modern, and secure. Using the Stonebranch Universal Automation Center, enterprises can seamlessly orchestrate workloads and data across technology ecosystems and silos. Headquartered in Atlanta, Georgia, with points of contact and support across the globe Stonebranch serves some of the world's largest financial, manufacturing, healthcare, travel, transportation, energy, and technology institutions. Learn more: www.stonebranch.com

  • Metaflow Landing page
    Landing page //
    2023-03-03

Stonebranch features and specs

  • Workload Automation: Job scheduling and Workload Automation capabilities that support on-prem, cloud and containerized microservices in a hybrid IT enviornment.
  • Data Pipeline Orchestration: Simplify the management of your data pipeline with a centralized orchestration solution built to keep data moving—so that insights are delivered to the business without error.
  • Cloud Automation: Centralize the management of automated workloads across private cloud, public cloud, and multi-cloud environment.
  • Managed File Transfer: Move data between any type of cloud, on-prem or containerized system.
  • DevOps and DataOps Enabled: Support dev, test, prod processes within the platorm, or by connecting to third party repositories like GitHub.
  • SaaS: Deployment options include both SaaS and on-premises.

Metaflow features and specs

No features have been listed yet.

Stonebranch videos

+ Add

Stonebranch's Service Orchestration and Automation Platform (SOAP)

More videos:

  • Review - About the Stonebranch Universal Automation Center Platform

Metaflow videos

+ Add

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

More videos:

  • Review - Screencast: Metaflow Sandbox Example

Category Popularity

0-100% (relative to Stonebranch and Metaflow)

Stonebranch

Metaflow

IT Automation
100 100%
IT Automation
0% 0
Workflow Automation
72 72%
Workflow Automation
28% 28
DevOps Tools
0 0%
DevOps Tools
100% 100
Product Deployment
100 100%
Product Deployment
0% 0

User comments

Share your experience with using Stonebranch and Metaflow. 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 Stonebranch and Metaflow

Stonebranch Reviews

Top 10 Control-M Alternatives in ’23
However, choosing a workload automation solution that fits your business goals and objectives in a complex market landscape can be challenging. For instance, Control-M is one of the WLA market leaders along with ActiveBatch, Redwood RunMyJobs, Stonebranch Universal Automation Center (UAC) and JAMS WLA according to AIMultiple’s analysis based on 7 different data sources.
Source: research.aimultiple.com
9 Control-M Alternatives & Competitors In 2023
Stonebranch helps organizations of any size scale and complexity scale up or down as needed. In addition to providing scalable IT automation, Stonebranch simplifies complex IT environments with its platform-agnostic, cloud-based architecture. Customers can benefit from a smoother transition to the cloud without sacrificing security, flexibility, or data security. Regardless...
Source: www.softwaretestingmaterial.com
The Top 5 BMC Control-M API Alternatives
With Stonebranch, organizations can centrally manage and automate complex business processes across on-premises, cloud, and hybrid environments. UAC is designed to simplify IT automation and make it more accessible to business users while still providing advanced features for IT operations teams.
Source: www.redwood.com

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

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.

Stonebranch mentions (0)

We have not tracked any mentions of Stonebranch yet. Tracking of Stonebranch recommendations started around Mar 2021.

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: 12 months 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: about 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 / over 1 year ago
View more

What are some alternatives?

When comparing Stonebranch and Metaflow, you can also consider the following products

ActiveBatch - Orchestrate the entire tech stack with ActiveBatch Workload Automation & Job Scheduling. Build and manage workflows from one place.

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.

GoAnywhere MFT - GoAnywhere is a managed file transfer (MFT) solution that secures and automates the exchange of data. GoAnywhere's interface and workflow features eliminate the need for custom programs, scripts, single-function tools or other manual methods.

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

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