BigML Alternatives & Competitors

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

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

Illuminate the future with AI.

Key Electe features:

Connect your Data Analyze the Data Generate custom reports AI Agents

Try for free paid Free Trial €384.0 / Annually (Starter)

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

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

Key Alteryx features:

User-Friendly Interface Robust Data Integration Advanced Analytics Automation

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.

Key Google Cloud Machine Learning features:

Integrated Environment Scalability Automated Machine Learning (AutoML) Integration with Google Services

Open Source

IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.

Key IBM SPSS Modeler features:

User-Friendly Interface Comprehensive Data Handling Advanced Analytics and Machine Learning Integration Capabilities

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

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

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)

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Key machine-learning in Python features:

Ease of Use Rich Ecosystem Community Support Integration Capabilities

Predictive Analytics.

Key KNIME Analytics Platform features:

Open Source User-Friendly Interface Wide Range of Integrations Extensive Tutorials and Documentation

Train custom ML models with minimum effort and expertise.

Key Google CLOUD AUTOML features:

Ease of Use Integration Customization Speed

Machine learning made easy for developers of any skill level.

Key Amazon Machine Learning features:

Scalability Integration with AWS Ease of Use Performance