Hex

About Hex

Hex is a collaborative data notebook platform that integrates AI assistance to help analysts and data scientists work with data more efficiently. Users can write queries, build charts, and create interactive reports within a single environment. The core AI feature, called Magic, allows users to describe what they want in plain English and receive generated SQL queries or Python code in return, reducing the time spent on syntax and letting users focus on interpretation and decision-making. Notebooks in Hex support both SQL and Python cells, and outputs can be assembled into shareable, interactive data apps without requiring separate tools or engineering support. The platform is built for data teams that need to move quickly from raw data to communicable insights. Analysts who are comfortable with data but less fluent in code benefit from the natural language interface, while more experienced data scientists can use Hex as a collaborative workspace where notebooks are version-controlled and teammates can comment, fork, or build on each other's work. Common use cases include exploratory data analysis, building internal dashboards, automating recurring reports, and sharing findings with non-technical stakeholders through polished data apps that update dynamically. Hex connects to a wide range of data warehouses and databases, including Snowflake, BigQuery, Redshift, and Databricks, making it practical for teams already operating within modern data stacks. Hex offers a free tier that covers individual use with limited projects and compute, making it accessible for solo analysts or those evaluating the product. Paid plans scale for teams and organizations, adding features like increased compute, more collaborators, version history, and enterprise-grade security controls. Pricing is subscription-based and structured around team size and usage needs, with details available on request for larger enterprise deployments. The product sits in a growing category of AI-augmented analytics tools and is positioned specifically for teams that want notebook flexibility combined with app-style shareability.

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