Dataiku DSS 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

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

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 / Annually (Starter)

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

RStudio™ is a new integrated development environment (IDE) for R.

Key RStudio features:

User-Friendly Interface Integrated Development Environment Extensive Support for Packages RMarkdown Support

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

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

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)

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

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

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

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

Predictive Analytics.

Key KNIME Analytics Platform features:

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

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

Key Tibco Data Science features:

Scalability Integration Capabilities User-Friendly Interface Collaboration Features