Development Analytics & Data

Hex

Turning cloud-warehouse data into collaborative analysis and stakeholder-ready apps is where Hex fits, combining SQL, Python, charts, and controls in one browser workspace.

Runs on Web
Available on Web
Built for Startups Enterprise Remote Teams Developers
Overview

What is Hex?

From warehouse question to shared result

Hex gives data teams one browser workspace for querying cloud warehouses, exploring results in Python, and turning finished analysis into an interactive app. SQL, Python, charts, input controls, and markdown live in reusable cells, so an analyst can move from a rough investigation to something colleagues can use without rebuilding it in a BI dashboard. Connections, permissions, scheduled runs, and shared data assets make it better suited to team work than a personal notebook.

Where it earns its place

  1. Exploration: Mix SQL with Python and visual cells while keeping the workflow inspectable.
  2. Publishing: Add parameters and controls, then share a focused data app with nontechnical teammates.
  3. Collaboration: Comments, shared projects, and workspace permissions keep analysis near the decisions it supports.
  4. Trade-off: It suits teams centered on a supported cloud warehouse; local-first notebook users may find the managed environment restrictive.
Capabilities

Key features

Polyglot notebooks

Combine SQL, Python, markdown, charts, and no-code cells

Warehouse connections

Query major cloud data platforms without exporting datasets

Interactive data apps

Publish analyses with filters, parameters, and input controls

Multiplayer projects

Edit together, comment, manage permissions, and track changes

Keep exploring

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