Hex

Hex

AI-powered analytics workspace for teams to drive faster answers and better decisions.

Hex is an AI-powered analytics workspace designed to help teams collaborate on data analysis, build interactive data apps, and enable self-serve exploration. It integrates Python, SQL, and no-code tools in a unified platform, powered by leading LLMs for intelligent assistance. With features like real-time collaboration, semantic models, and extensive integrations with data warehouses and tools like Snowflake, dbt, and GitHub, Hex streamlines the analytics workflow from data querying to visualization and sharing. It supports various deployment models, including multi-tenant and HIPAA-compliant options, ensuring security and scalability for enterprises. Hex is trusted by companies like Notion and ClickUp to enhance data-driven decision-making and operational efficiency.

Freemium
$36/mo
Hex screen shot

How to use Hex?

Hex allows users to connect to data sources, perform analyses using notebooks with Python and SQL, build interactive data apps with drag-and-drop components, and share insights through collaborative workspaces. It solves problems like data silos and slow decision-making by providing a unified environment for exploration, AI-assisted queries, and real-time feedback. Users can automate workflows with scheduled runs, integrate with existing tools, and empower non-technical stakeholders through self-serve exploration features.

Hex 's Core Features

  • AI-Powered Notebooks: Enable deep-dive analysis with integrated AI tools that assist in generating, editing, and fixing code, powered by leading LLMs for faster and more accurate insights without switching between tools.
  • Collaborative Workspace: Facilitate real-time collaboration with commenting, version control, and shared components, allowing teams to work together seamlessly on data projects and reduce communication barriers.
  • Data Apps Builder: Create interactive and polished data applications with drag-and-drop components, inputs, and live models, turning analyses into actionable experiences for stakeholders to explore and provide feedback.
  • Self-Serve Exploration: Empower business users with a point-and-click interface for natural language queries, filtering, and pivoting data without writing code, ensuring data consistency through governed semantic models.
  • Extensive Integrations: Connect effortlessly with popular data warehouses (e.g., Snowflake, BigQuery), orchestration tools (e.g., Airflow, Dagster), and version control systems (e.g., GitHub, GitLab) for a streamlined analytics stack.
  • Enterprise-Grade Security: Ensure data protection with SOC2 and HIPAA compliance, flexible deployment options including single tenant and private cloud, and features like SSO, audit logging, and secure database connections.
  • Scalable Compute Profiles: Offer flexible compute options from free small profiles to paid large and GPU-based profiles, allowing users to handle advanced data science workloads with pay-as-you-go pricing for efficiency.
  • Hex 's Use Cases

  • Data analysts at companies like Notion use Hex to perform ad-hoc analyses and build dashboards, enabling non-technical team members to answer data questions independently, which reduces dependency on IT and accelerates decision-making.
  • Product managers in organizations such as ClickUp leverage Hex to create data apps for monitoring key metrics, allowing them to visualize customer churn patterns and implement strategies that save millions by improving retention rates.
  • Marketing teams utilize Hex's self-serve exploration to analyze campaign performance data, quickly identifying growth opportunities and optimizing budgets without waiting for data specialists, leading to faster ROI.
  • Sales leaders employ Hex to build forecast dashboards and pipeline analyses, providing clear insights into sales performance that boost confidence in predictions and help align strategies with revenue goals.
  • Engineering teams at firms like Modern Treasury use Hex for exploratory data analysis, enabling them to self-serve insights on product usage and reduce the time data teams spend on routine queries, focusing instead on strategic projects.
  • Customer success managers implement Hex to create health score dashboards, offering a complete view of customer metrics that improve retention efforts and enhance service delivery through data-driven actions.
  • Executives and data leaders rely on Hex for enterprise-wide analytics, embedding secure data apps into daily workflows to ensure consistent data definitions and foster a culture of informed decision-making across departments.
  • Hex 's Pricing

    Community

    Free

    Free plan for hobbyists with up to 5 projects, unlimited queries, limited AI agent usage, and basic features.

    Professional

    $36 per Editor/month

    For individuals with unlimited projects, scheduled runs, standard AI agent usage, 30-day version history, and medium compute included.

    Team

    $75 per Editor/month

    For companies with shared components, review and approval workflows, custom branding, extended AI agent usage, unlimited version history, and advanced compute add-ons.

    Enterprise

    Custom

    Custom plan for organizations with advanced security, OIDC SSO, single tenant options, embedded analytics add-ons, and dedicated support.

    Hex 's FAQ

    Most impacted jobs

    Data Analyst
    Data Scientist
    Product Manager
    Marketing Analyst
    Sales Manager
    Customer Success Manager
    Engineering Manager
    Business Analyst
    Executive Leader
    IT Administrator

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