Compare the Top Data Science Software for Cloud as of June 2025

What is Data Science Software for Cloud?

Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends. Compare and read user reviews of the best Data Science software for Cloud currently available using the table below. This list is updated regularly.

  • 1
    IBM Cloud Pak for Data
    The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.
    Starting Price: $699 per month
  • 2
    Alteryx Designer
    Drag-and-drop tools and generative AI enable analysts to prepare & blend data up to 100 faster than traditional solutions. Self-service data analytics platform puts the power in every analyst’s hands and removes expensive bottlenecks in the analytics journey. Alteryx Designer is a self-service data analytics platform designed to empower analysts by enabling them to prepare, blend, and analyze data using intuitive, drag-and-drop tools. The platform supports over 300 tools for automation and integrates with more than 80 data sources. With a focus on low-code and no-code capabilities, Alteryx Designer allows users to easily create analytic workflows, accelerate analytics processes with generative AI, and generate insights without needing advanced programming skills. It also enables the output of results to over 70 different tools, making it highly versatile. Designed for efficiency, it allows businesses to speed up data preparation and analysis.
  • 3
    PurpleCube

    PurpleCube

    PurpleCube

    Enterprise-grade architecture and cloud data platform powered by Snowflake® to securely store and leverage your data in the cloud. Built-in ETL and drag-and-drop visual workflow designer to connect, clean & transform your data from 250+ data sources. Use the latest in Search and AI-driven technology to generate insights and actionable analytics from your data in seconds. Leverage our AI/ML environments to build, tune and deploy your models for predictive analytics and forecasting. Leverage our built-in AI/ML environments to take your data to the next level. Create, train, tune and deploy your AI models for predictive analysis and forecasting, using the PurpleCube Data Science module. Build BI visualizations with PurpleCube Analytics, search through your data using natural language, and leverage AI-driven insights and smart suggestions that deliver answers to questions you didn’t think to ask.
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