Leading Advanced Analytics & AI Tools in Comparison

Visual data science platform for the code-free implementation of numerous business use cases. Part of the Altair One platform.

Collaborative end-to-end platform for data science with a graphical user interface. Thanks to the JupyterLab integration, coders also get their money's worth.

Fully managed data science platform in AWS with connection to numerous ML services and pre-trained models.

Anaconda Enterprise is a data science platform for teams to develop, deploy and manage models together using R and Python. With MLOps and governance features

Fully managed data science environment integrated into Cloudera Data Platform (CDP) with functions for direct data access, dashboarding and the use of various IDEs (JupyterLab, RStudio, VS Code).

End-to-end solution for the Google Cloud Platform for creating, deploying and scaling ML models with pre-trained and user-defined tools. Simplify the integration of generative AI through integrated function modules.

End-to-end advanced analytics platform for the visual and code-based development of data models with a strong focus on cross-role collaboration. Facilitating the use and secure operationalization of generative AI from version 12.

End-to-end platform for the modelling, operationalization and management of machine learning solutions with extensive AutoML functions aimed at use by citizen data scientists.

End-to-end platform for MLOps based on Kubernetes for the integration and management of numerous different third-party environments for data science.

End-to-end AI platform based on FICO's proprietary programming language Mosel. The platform combines FICO's existing product portfolio and thus combines functions for decisioning, fraud detection and optimization.

Cloud-based end-to-end platform for the development and deployment of machine learning applications via a low-code user interface, integrating numerous functions for model management and collaboration as well as AutoML.

Point-and-click statistical software with the option of using proprietary code, integration of Python and R extensions as well as functions to support and automate data preparation.

Multi-cloud compatible tool for data preparation and for the creation and provision of AI models as well as their management in the production environment. Integrates seamlessly into the IBM Watson ecosystem and supports the integration of open source frameworks.

Open source tool for data science workflows that are mapped in a pipeline of function nodes on a drag & drop canvas. Easy integration of third-party plugins and other programming environments (e.g. Python and R) as well as GenAI extensions.

Commercial statistics program for numerical calculations & programming, analyses and their visualization based on a proprietary programming language.

Cloud-based machine learning platform for code-optional (R or Python) development, automated deployment and management of ML models with the ability to integrate open source frameworks.

Web-based software that uses AI and predictive analytics to optimize decision-making processes

Commercial end-to-end platform for data science from the creators of RStudio. The collaborative platform addresses both Python and R coders.

Web-based collaborative development environment for Julia, Python, & R applications, especially for the areas of data science and machine learning. The programming mask is the popular Jupyter Notebook.