Compare the Top AI Data Analytics Tools that integrate with DataHub as of July 2025

This a list of AI Data Analytics tools that integrate with DataHub. Use the filters on the left to add additional filters for products that have integrations with DataHub. View the products that work with DataHub in the table below.

What are AI Data Analytics Tools for DataHub?

AI data analytics tools are AI-powered software tools designed to analyze large datasets and identify patterns. They can be used for a wide range of tasks such as predicting customer demand, detecting fraud, or spotting trends in sales data.These tools typically use machine learning algorithms that enable them to adjust their predictions and recommendations over time.They also tend to be integrated with common business systems such as ERP or CRM software. Compare and read user reviews of the best AI Data Analytics tools for DataHub currently available using the table below. This list is updated regularly.

  • 1
    Google Cloud BigQuery
    Google Cloud BigQuery integrates seamlessly with AI and machine learning tools to perform data analytics on vast datasets. By offering advanced capabilities for building and running machine learning models directly within the platform, users can take full advantage of Google’s AI services. It allows businesses to leverage data for predictive analytics, enabling smarter decision-making processes. New customers get $300 in free credits to explore BigQuery’s AI-driven features, which can help them unlock valuable insights without any upfront costs, making it easy to experiment with machine learning models and data exploration. This integration positions BigQuery as a powerful tool for organizations looking to harness AI for data-driven innovation and growth.
    Starting Price: Free ($300 in free credits)
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  • 2
    Looker

    Looker

    Google

    Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.
  • 3
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
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