Software Alternatives & Reviews

Predera VS Azure Machine Learning Studio

Compare Predera VS Azure Machine Learning Studio and see what are their differences

Predera logo Predera

A light-weight, composable, vertical machine learning operations engine for Healthcare, Retail, and CRMs, one-click scalable deployment, monitoring, governance, explainability

Azure Machine Learning Studio logo Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
  • Predera Landing page
    Landing page //
    2023-08-22

Everyday millions of machine learning models are built by analysts and data scientists everywhere, and only a few of them make it to production, and continue to provide value over time. At Predera we have built AIQ, an MLOps & monitoring engine to help Data Scientists with the tedious job of deploying and managing ML, by collecting and leveraging the rich semi-structured data created in the entire machine learning development life cycle.

AIQ is language agnostic, plugs into most popular machine learning (ML) libraries across cloud / on-premise to continuously monitor data, track model quality and provide real-time insights to manage robust, high quality machine learning applications.

  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03

Predera

$ Details
freemium $999.0 / Monthly (1 project, 10 models, 5 users)
Platforms
Web Browser REST API
Release Date
2020 June

Predera videos

Predera AIQ - full ML life cycle to build data solutions

Azure Machine Learning Studio videos

Azure Machine Learning Studio

More videos:

  • Review - Introduction to Microsoft Azure Machine Learning Studio & Services

Category Popularity

0-100% (relative to Predera and Azure Machine Learning Studio)
Data Science And Machine Learning
AI
22 22%
78% 78
Machine Learning
17 17%
83% 83
Data Science Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Azure Machine Learning Studio seems to be more popular. It has been mentiond 2 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.

Predera mentions (0)

We have not tracked any mentions of Predera yet. Tracking of Predera recommendations started around Aug 2021.

Azure Machine Learning Studio mentions (2)

  • What are all possible FREE Machine Learning integrations with Power BI?
    Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 2 years ago
  • Stumbling into BI as a job role and need advice
    Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: almost 3 years ago

What are some alternatives?

When comparing Predera and Azure Machine Learning Studio, you can also consider the following products

cnvrg CORE - Free ML Platform for everyone

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Dataiku DSS - Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.