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Hex is a cloud-based data analytics workspace designed to help data scientists, analysts, and business teams work collaboratively on data projects. Developed by Barry McCardel, the platform enables users to connect to multiple data sources, write SQL and Python code in an interactive notebook-style environment, and build no-code interactive data apps to share insights. Hex combines powerful data science workflows with intuitive visualization tools, making it an all-in-one solution for exploratory analysis, reporting, and collaborative decision-making.

Website Link: https://hex.tech/

Hex – Platform Review

Hex is designed to streamline data exploration, analysis, and visualization for modern data teams. The platform offers a real-time collaborative notebook that supports both SQL and Python, allowing users to query, manipulate, and visualize data seamlessly. Unlike traditional Jupyter notebooks, Hex adds no-code app-building capabilities, enabling users to transform analyses into interactive, shareable data applications without requiring additional engineering support.

With one-click publishing and real-time multiplayer editing, Hex facilitates a frictionless workflow for teams working on predictive modeling, dashboarding, and automated reporting. The platform integrates with cloud-based data warehouses like Snowflake, BigQuery, and Databricks, ensuring that users can connect, analyze, and share insights effortlessly.

Hex – Key Features

  • Collaborative Notebook Interface: Supports real-time code execution and editing in a modern, shared workspace.
  • SQL and Python Support: Enables querying, transforming, and analyzing data using both SQL and Python.
  • Interactive Data Visualization: Provides drag-and-drop visualizations and custom-built data dashboards.
  • No-Code App Builder: Allows users to convert analyses into interactive, shareable data apps.
  • One-Click Publishing: Facilitates easy sharing of reports and dashboards without additional setup.
  • Real-Time Multiplayer Editing: Teams can collaborate in real-time, making changes simultaneously.
  • Integration with Multiple Data Sources: Connects to BigQuery, Snowflake, Databricks, Postgres, and other data warehouses.

Hex – Use Cases

  • Data Analysis & Exploration: Enables data teams to query, transform, and explore datasets collaboratively.
  • Dashboard Creation: Helps users build interactive dashboards to visualize insights dynamically.
  • Predictive Modeling: Supports data scientists in developing machine learning models within a collaborative environment.
  • Automated Reporting: Allows businesses to automate data reporting and share insights in real-time.
  • Collaborative Data Projects: Facilitates team-based data science initiatives with seamless sharing and real-time editing.

Hex – Additional Details

  • Created by: Barry McCardel
  • Category: Data Science
  • Industry: Technology
  • Pricing Model: Freemium
  • Access: Closed Source