IBM Watson Machine Learning Alternatives & Competitors

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.

Key IBM Watson Studio features:

Integration Scalability Collaboration Automated Machine Learning (AutoML)

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.

Key TensorFlow features:

Comprehensive Ecosystem Community and Support Flexibility Integrations

Open Source

Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future!

Key Electe features:

Connect your Data Analyze the Data Generate custom reports

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

Key Qubole features:

Scalability Multi-cloud Support Unified Interface Cost Management

Open Source

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

Key Pega Platform features:

Low-Code Development Scalability Case Management AI and Decisioning

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Key Azure Machine Learning Studio features:

User-Friendly Interface Integration with Azure Services Pre-built Algorithms Collaborative Environment

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

Key Salesforce Einstein features:

AI-Powered Insights Automation Capabilities Seamless Integration Customization

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

Key Amazon SageMaker features:

Fully Managed Service Scalability Integrated Development Environment Support for Popular Machine Learning Frameworks

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

Key Azure Machine Learning Service features:

Integrated Environment Scalability Automated Machine Learning Security and Compliance

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

Key MATLAB features:

Versatility Built-in Functions User-Friendly Interface Excellent Visualization

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

Key BP Logix BPMS features:

Ease of Use Customization Integration Capabilities Compliance and Security

Train custom ML models with minimum effort and expertise.

Key Google CLOUD AUTOML features:

Ease of Use Integration Customization Speed

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Key Scikit-learn features:

Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

Open Source

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

Key RapidMiner features:

Ease of Use Integration Capabilities Comprehensive Feature Set Community and Support