Hex is an AI-powered data analytics platform that lets teams explore, analyze, and share data using natural language, code, or no-code tools in a single workspace. It includes notebooks for deep analysis, a self-serve Explore feature for quick questions, and tools to build and embed interactive data apps.

Hex is built for data teams, product analysts, business intelligence professionals, and anyone who needs to explore data and share insights. It's designed for organizations that want both ad hoc analysis and polished dashboards, from startups to enterprises.

Do I need to install anything to use Hex?

No, Hex is a cloud-based platform that works entirely in your browser. You can start using it immediately without installing software, though you'll need to connect it to your data warehouse or database.

Hex offers a free Community plan with limited features. Paid plans (Professional, Team, and Enterprise) are available for more advanced capabilities and users.

Does Hex have a plan for teams or businesses?

Yes, Hex offers a Team plan designed for team collaboration, along with Professional and Enterprise plans. The Team plan includes features like user groups, usage reports, integrations, and dedicated support.

Does Hex offer an API or integrations?

Yes, Hex offers REST APIs, integrations with popular data warehouses and tools like dbt, and an Embed API for deploying interactive data apps. It also supports connections to most major databases and lakehouses.

How do I contact Hex support?

Hex provides email and Slack support. Professional and higher plans include priority SLAs, response times, and access to a Dedicated Product Expert for customized assistance.

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Hex

Data & Analytics

Explore and analyze data with AI—using natural language or code—on governed context in one platform for data teams and business users.

Available Via:Web

Visit Hex

Hex is a web-based collaborative data analytics platform for data teams, analysts, and data scientists who need shared, trusted workflows across SQL, Python, R, and natural-language exploration.

Key capabilities include:

Agentic analytics with AI helpers such as a Notebook agent, Threads agent, and semantic model agent (credit-based) to generate analyses, build charts, and answer questions grounded in shared context.
Collaborative notebooks and apps that combine SQL, Python, R, visualization, and no-code interaction, plus real-time multiplayer editing, version history, shared collections, and publishable interactive apps.
Warehouse connectivity and governance with connections to platforms such as Snowflake and Trino, permission-aware access (including OAuth options), and configurable semantic models and rules via Context Studio.
Automation and integration via scheduled runs, alerts, and integrations including dbt, GitHub/GitLab, and orchestration tools such as Airflow and Dagster.

Pricing: Community (Free); Professional ($36 per Editor/month); Team ($75 per Editor/month); Enterprise (Custom).

What makes it notable is how it connects conversational self-serve, code-based notebooks, and publishable data apps in one project space, backed by for observability and semantic models, plus annual and compliance audits for organizations with stricter requirements.

TransparencySee listing history, review integrity, and health signals

Feature:Data Analysis Forms & Docs Prompt Engineering

Use Case:Automating Reports

Audience:Business Analysts Data Analysts Researchers

Pricing:Free Subscription