Best Data Science and Machine Learning Platforms for 2026

Google Cloud AI helps to Build best-in-class ML models without writing any code with AutoML's easy-to-use UI, or using your own code written in Notebooks, a managed Jupyter Notebook service. Use the latest open-source deep learning frameworks on Deep Learning VM Image or Deep Learning Containers. Then train your models with our fully managed Training service.

IBM Decision Optimization delivers cutting-edge prescriptive analytics to elevate the decision-making and business outcomes. IBM ILOG CPLEX Optimization Studio rapidly develops and deploys decision optimization models using advanced mathematical and constraint programming. For data science teams, IBM Decision Optimization for Watson Studio unlocks the power of prescriptive analytics, integrating machine learning and optimization for robust solution-building. Available with IBM Watson Studio for IBM Cloud Pak for Data, it combines data and analytics seamlessly. The IBM Decision Optimization Center, designed for scientists, developers, analysts, planners, and schedulers, offers a configurable platform to support complex planning and scheduling tasks. By leveraging powerful analytics, it reduces the effort, time, and risk tied to business improvement solutions. Deploying this platform enables smarter decisions and improved ROI, making it an indispensable tool for transforming data into actionable insights and driving growth.

Discover, share, and deploy enterprise-grade AI with end-to-end AI pipelines and out-of-the-box algorithms from Google Cloud.

A development platform to build AI apps that run on Google Cloud and on-premises. Take your ML projects to production, quickly, and cost-effectively.

Machine Learning Platform For AI provides end-to-end machine learning services.

TensorFlow is a powerful platform used for creating production-grade machine learning models. Data is the foundation of any successful machine learning project. Without high-quality, relevant data, even the most advanced models will fail to produce accurate results. This is why TensorFlow places a strong emphasis on data and provides tools to help manage and analyze it effectively. TensorFlow supports distributed training, allowing for faster model training by leveraging the power of multiple machines. Additionally, it allows for immediate model iteration, saving time and effort in the development process. The integration with Keras also makes it easy to debug and fine-tune models for optimal performance. Tools like Model Analysis and TensorBoard help track the development and improvement of models throughout their lifecycle. With TensorFlow's TFX framework and tooling, one can easily deploy full MLOps pipelines to ensure the models evolve and perform well over time. Its emphasis on data, support for distributed training and model iteration, and tools for tracking development and deployment make it a top choice for machine learning professionals.

SAS Visual Data Mining and Machine Learning provides a single, integrated in-memory environment for solving your most complex problems faster.

OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

Anaconda Enterprise is a powerful platform designed for professionals who use python for development. With Anaconda Enterprise, python users have the security and peace of mind needed to develop python applications with confidence. The platform is designed to be user friendly, featuring a simple interface and intuitive navigation. It offers users feature-rich capabilities such as environment and package management. Plus, with built-in security protocols, Anaconda Enterprise gives users the confidence that their code is secure and running on a secure system. Anaconda Enterprise also provides the tools development teams need to collaborate effectively. Through peer to peer code collaboration, robust code review processes, and automated code testing, teams can work together more efficiently and feel confident that their code is up to industry standards. Anaconda Enterprise is ideal for professionals looking to maximize their python development. The platform provides an efficient and secure development environment, as well as the tools needed to produce high-quality code. With Anaconda Enterprise, development teams can work together more effectively, with the confidence that their code is secure and up to industry standards.

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

Infor Coleman represents our AI product suite comprised of natural language processing, machine learning, and automation-based solutions.

Cloudera Data Engineering streamlines and operationalizes data pipelines securely at any scale to increase efficiency and accelerate time to value.

Wipro HOLMES is an Artificial Intelligence Platform that provide services for the development of digital virtual agents.

DataRobot automates the entire modeling lifecycle, enabling users to quickly and easily build highly accurate predictive models. Get more information here!

Altair’s enterprise-ready data science platform empowers organizations to unlock the full potential of their data, catering to everyone from data scientists and engineers to business analysts and executives. This unified platform simplifies the creation of data and machine learning pipelines with a seamless blend of automated, visual, and code-based approaches. Interactive decision trees, model simulators, and highly explainable features build trust and transparency, while modular and composable designs ensure effortless integration into existing infrastructures—whether on the cloud, on-premises, or mainframes. The platform scales effortlessly, supporting desktops, on-premises servers, or secure multi-tenant cloud deployments. With Altair RapidMiner, one can train, evaluate, explain, and deploy predictive models using the latest data analytics techniques, streamlining the process for beginners and experienced professionals alike. Advanced governance controls guarantee each stakeholder receives tailored insights and access, ensuring data is both manageable and secure. Altair transforms complex machine learning challenges into engaging, user-friendly experiences, giving businesses the tools they need to make impactful, data-driven decisions.

The C3 AI Application Platform uses a unique model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise AI applications. The C3 AI model-driven architecture provides an “abstraction layer,” that allows developers to build enterprise AI applications by using conceptual models of all the elements an application requires, instead of writing lengthy code.

Domino is the data science platform where models can be developed and delivered within an open technology platform with the tools, infrastructure, and languages you need.

Lightning AI is the new, industry-leading platform helping professionals in the machine learning space to build models and workflows for their projects quickly and efficiently. With Lightning AI, customer can develop testable ML workloads and user-facing apps in a fraction of time usually required: days instead of months! This revolutionary platform provides an intuitive way to bridge technologies together for ML lifecycle workflow management. Plus, it introduces APIs for devops tasks like data ingestion, preprocessing, version controls, resource provisioning & monitoring - taking project development to the new level of excellence. Lightning AI opens opportunities for digital product teams to create ML products with unprecedented speed and accuracy. Professionals working in various machine learning-related areas will benefit from this remarkable tool – building/publishing Lightning Apps with unlimited possibilities when it comes to training models and setting up experiment tracking facilities. If customer is looking for impeccable efficiency and reliability in ML projects – Lightning AI is here to deliver on these promises without compromising quality. Join other proud users today and level up the productivity – just explore all innovative features of Lightning AI!

Build more than just models. Peak gives data engineers, data scientists and commercial decision makers everything to build and support AI-driven solutions across the enterprise. Peak gives the technology, accelerators and support need to rapidly adopt and realize value from AI and Decision Intelligence.

Manage and optimize the entire ML lifecycle, from experiment tracking to model production monitoring. Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Add a single line of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task.