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Microsoft Azure Machine Learning Workbench VS datarobot

Compare Microsoft Azure Machine Learning Workbench VS datarobot and see what are their differences

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  2. » Videos
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  4. » Alternatives

Microsoft Azure Machine Learning Workbench logo Microsoft Azure Machine Learning Workbench

Learn about what happened to the Machine Learning Workbench application, what changed in Azure Machine Learning, and what the support timeline is.

datarobot logo datarobot

Become an AI-Driven Enterprise with Automated Machine Learning
  • Microsoft Azure Machine Learning Workbench Landing page
    Landing page //
    2023-10-22
  • datarobot Landing page
    Landing page //
    2023-08-01

Microsoft Azure Machine Learning Workbench

Website
docs.microsoft.com
$ Details
-
Release Date
-
Edit details

datarobot

Website
datarobot.com
$ Details
Release Date
2012 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
Jeremy Achin
Employees
1,000 - 1,999
Edit details

Microsoft Azure Machine Learning Workbench features and specs

No features have been listed yet.

datarobot features and specs

  • Ease of Use
    DataRobot provides a user-friendly interface that makes it accessible for users with varying levels of expertise, from data scientists to business analysts.
  • Automated Machine Learning (AutoML)
    The platform automates the process of building, deploying, and maintaining machine learning models, significantly reducing the time and effort required.
  • Scalability
    DataRobot supports scalable machine learning workflows, allowing businesses to handle large datasets and complex computations efficiently.
  • Integration
    DataRobot offers seamless integration with popular data platforms and tools like AWS, Azure, BigQuery, and Snowflake, facilitating smooth data pipeline management.
  • Model Interpretability
    The platform provides various tools and visualizations for understanding and interpreting model predictions, which is crucial for decision-making and regulatory compliance.
  • Collaboration Features
    DataRobot includes collaboration tools that allow teams to work together on projects, share insights, and ensure consistency across different stages of the machine learning lifecycle.

Possible disadvantages of datarobot

  • Cost
    DataRobot can be expensive, especially for small businesses or startups with limited budgets, potentially making it inaccessible for some companies.
  • Complexity for Advanced Users
    While the platform is user-friendly, advanced users might find it restrictive because they may prefer more control and customization over their machine learning workflows.
  • Steep Learning Curve for Non-Data Scientists
    Despite being user-friendly, non-data scientists may still face a learning curve to fully leverage the platform's capabilities and understand the underlying machine learning principles.
  • Dependency on Cloud Services
    DataRobot's heavy reliance on cloud services can be a limiting factor for organizations with strict data governance policies that require on-premise solutions.
  • Limited Algorithm Choices
    While DataRobot supports a wide range of algorithms, it might not include certain niche models or the latest advancements in machine learning algorithms, which could be a limitation for specific use cases.
  • Data Privacy Concerns
    Handling sensitive data on a third-party platform can raise privacy concerns for some organizations, particularly those in highly regulated industries.

Microsoft Azure Machine Learning Workbench videos

No Microsoft Azure Machine Learning Workbench videos yet. You could help us improve this page by suggesting one.

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datarobot videos

+ Add

Build and Deploy a Managed Machine Learning Project in 10 minutes - Scott Lutz (DataRobot)

More videos:

  • Review - How DataRobot Works
  • Review - DataRobot Predictions Using Alteryx

Category Popularity

0-100% (relative to Microsoft Azure Machine Learning Workbench and datarobot)

Microsoft Azure Machine Learning Workbench

datarobot

Data Science And Machine Learning
7 7%
Data Science And Machine Learning
93% 93
Data Dashboard
100 100%
Data Dashboard
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Data Science
100 100%
Data Science
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 Microsoft Azure Machine Learning Workbench and datarobot

Microsoft Azure Machine Learning Workbench Reviews

We have no reviews of Microsoft Azure Machine Learning Workbench yet.
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datarobot Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: DataRobot offers an enterprise AI platform that automates the end-to-end process for building, deploying, and maintaining AI. The product is powered by open-source algorithms and can be leveraged on-prem, in the cloud or as a fully-managed AI service. DataRobot includes several independent but fully integrated tools (Paxata Data Preparation, Automated Machine...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, datarobot 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.

Microsoft Azure Machine Learning Workbench mentions (0)

We have not tracked any mentions of Microsoft Azure Machine Learning Workbench yet. Tracking of Microsoft Azure Machine Learning Workbench recommendations started around Mar 2021.

datarobot mentions (1)

  • Predicting the End of Season Bundesliga Table
    To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group.  We used DataRobot’s models to predict which team would win each match to simulate the final nine matchdays 10,000 times.  For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: about 2 years ago

What are some alternatives?

When comparing Microsoft Azure Machine Learning Workbench and datarobot, you can also consider the following products

TIBCO Statistica - TIBCO Statistica™, now part of TIBCO Data Science, is a comprehensive and open advanced-analytics platform that helps businesses automate routine tasks and scale analytics.

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Statista - The Statistics Portal for Market Data, Market Research and Market Studies

H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

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