Best Business Intelligence Software for Snowflake Cortex AI

Compare the Top Business Intelligence Software that integrates with Snowflake Cortex AI as of November 2025

This a list of Business Intelligence software that integrates with Snowflake Cortex AI. Use the filters on the left to add additional filters for products that have integrations with Snowflake Cortex AI. View the products that work with Snowflake Cortex AI in the table below.

What is Business Intelligence Software for Snowflake Cortex AI?

Business intelligence software is software designed to collect and analyze large amounts of data from various sources. The software provides users with the ability to access current and historical data in order to track performance trends and make informed decisions. Business intelligence solutions vary in complexity, ranging from simple reporting tools to comprehensive analytics suites that provide advanced forecasting capabilities. Compare and read user reviews of the best Business Intelligence software for Snowflake Cortex AI currently available using the table below. This list is updated regularly.

  • 1
    Hightouch

    Hightouch

    Hightouch

    Hightouch is the leading Composable CDP and AI Decisioning platform that empowers companies to activate their data warehouse to power personalized marketing and business operations. Trusted by leading organizations like PetSmart, Warner Music Group, Chime, Aritzia, and Whoop, Hightouch enables anyone to deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization. Hightouch’s Composable Customer Data Platform collects behavioral events, resolves identities into Customer 360 profiles, builds audiences, syncs data to over 200 destinations like ad platforms and CRMs, and analyzes the results of marketing campaigns— all from the cloud data warehouse.
    Starting Price: $350 per month
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  • 2
    Segment

    Segment

    Twilio

    Twilio Segment’s Customer Data Platform (CDP) provides companies with the data foundation that they need to put their customers at the heart of every decision. Per IDC, it’s the #1 CDP in worldwide market share four years in a row (2019-2022). Using Twilio Segment, companies can collect, unify and route their customer data into any system where it’s needed to better understand their customers and create seamless, compelling experiences in real-time. Over 25,000 companies use Twilio Segment to make real-time decisions, accelerate growth and deliver world-class customer experiences.
    Starting Price: $120 per month
  • 3
    Posit

    Posit

    Posit

    Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Posit’s secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of users—and more than half of the Fortune 100—Posit empowers professionals across industries to innovate with data.
  • 4
    Qlik Cloud Analytics
    The modern analytics era truly began with the launch of QlikView, our first analytics solution, and the game-changing associative engine it is built on. It revolutionized the way organizations use data with intuitive visual discovery that put business intelligence in the hands of more people than ever. And we continue to lead the way with Qlik Cloud® Analytics for a cloud-based SaaS deployment and Qlik Sense® for an on-premises solution. Both options augment and enhance human intuition with AI-powered insights, and help your team move from passive to active analytics for real-time collaboration and action. Take advantage of analytics in the cloud and on-premises. You get maximum choice and deployment flexibility when deciding where to store, transform, and analyze your data.
  • 5
    Hex

    Hex

    Hex

    Hex brings together the best of notebooks, BI, and docs into a seamless, collaborative UI. Hex is a modern Data Workspace. It makes it easy to connect to data, analyze it in collaborative SQL and Python-powered notebooks, and share work as interactive data apps and stories. Your default landing page in Hex is the Projects page. You can quickly find projects you created, as well as those shared with you and your workspace. The outline provides an easy-to-browse overview of all the cells in a project's Logic View. Every cell in the outline lists the variables it defines, and cells that return a displayed output (chart cells, Input Parameters, markdown cells, etc.) display a preview of that output. You can click any cell in the outline to automatically jump to that position in the logic.
    Starting Price: $24 per user per month
  • 6
    Sigma

    Sigma

    Sigma Computing

    Sigma is a modern business intelligence (BI) and analytics application built for the cloud. Trusted by data-first companies, Sigma provides live access to cloud data warehouses using an intuitive spreadsheet interface empowering business experts to ask more of their data without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits. Sigma is self-service analytics as it was meant to be.
  • 7
    Kumo

    Kumo

    Kumo

    Companies spend millions of dollars annually to store terabytes of cloud data, but leverage only a fraction of it for predictive tasks. With Kumo, businesses can unleash the full potential of their enterprise data for faster, simpler, and smarter predictions. Today, in SQL, you already query the past; with Kumo, you can query the future. Conventional enterprise AI treats every predictive task separately in a silo. However, enterprise data represents a rich, interconnected web of business relationships, interactions, customers, transactions, and more. By leveraging the connectedness of enterprise data, Kumo enables a technical leap-frog in AI. Kumo’s best-in-class graph learning tech has meaningfully higher accuracy, even with an order of magnitude less training data. Automatically go from your raw data at the point of storage to making predictions in production robustly over time. Kumo can train on large-scale databases in minutes (not hours/days).
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