Azure Machine Learning Studio Alternatives

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.

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.

Open Source

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

The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Salesforce Einstein is an Artificial Intelligence designed into the core of the Salesforce platform, where it power the world’s smartest CRM.

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

BP Logix BPMS is a smart forms and workflow software help to create a business environment that is highly responsive, accountable, and compliant.

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

A high-level language and interactive environment for numerical computation, visualization, and programming

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Open Source

Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

Learn about what happened to Azure Batch AI and the Azure Machine Learning service compute option.

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.