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Hex

Hex is a connected platform for using AI to work with data, offering deep analysis, governed self-serve, and trusted context.

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Introduction

Hex is a connected platform designed to revolutionize how teams work with data, leveraging AI to empower everyone within an organization. It combines deep analysis, governed self-serve capabilities, and trusted context to provide accurate answers to critical data questions.

Key features include:

  • AI and Agents: Agentic data workflows powered by leading LLMs.
  • Notebooks: Powerful environment for deep-dive analysis, supporting SQL, Python, and no-code approaches.
  • Data Apps: Build and share interactive dashboards and reporting.
  • Threads: AI-powered conversational self-serve for broad accessibility.
  • Context Curation: Semantic models and AI governance to build trust in data.
  • Collaboration: Real-time multiplayer editing, commenting, and versioning.

Hex targets data teams and data-driven organizations aiming to democratize data access and ensure reliable insights. It uniquely combines advanced analytics with AI-driven self-service, fostering a data-literate culture.

Latest News

Command (line) and conquer | Learn | Hex Technologies

Command (line) and conquer | Learn | Hex Technologies

8/4/2026

Command (line) and conquer | Learn | Hex Technologies July 30, 2026 # Command (line) and conquer July 30, 2026 ### Command (line) and conquer Run the Hex agent from your terminal, al. šŸ¤– Hex Agent via CLI and API šŸ’» Cell outputs in the CLI šŸ”— See which resources the agent used šŸ§  Claude Opus 5 ...

Kimi K2.7 in Hex: Opus-level Analytics at a Fraction of the Cost | Hex

Kimi K2.7 in Hex: Opus-level Analytics at a Fraction of the Cost | Hex

8/4/2026

--- description: Kimi K2.7 is available in Hex. Open models have finally caught up to their closed counterparts. title: Kimi K2.7 in Hex: Opus-level Analytics at a Fraction of the Cost image: https://cdn.sanity.io/images/e92memrj/production/db02b34f4615d163c7ee63bb469adf9086360f40-3600x1890.png?w=12...

Get hands-on with your generative apps | Learn | Hex Technologies

Get hands-on with your generative apps | Learn | Hex Technologies

8/4/2026

Get hands-on with your generative apps | Learn | Hex Technologies ā† View full changelog July 21, 2026 # Get hands-on with your generative apps July 21, 2026 ### Get hands-on with your generative apps Generative app editing, CSV exports, and a heads-up from the agent. āœļø Edit generative app co...

More control over credits, thread metadata, and role requests | Learn | Hex Technologies

More control over credits, thread metadata, and role requests | Learn | Hex Technologies

8/4/2026

More control over credits, thread metadata, and role requests | Learn | Hex Technologies ā† View full changelog July 14, 2026 # More control over credits, thread metadata, and role requests July 14, 2026 ### More control over credits, thread metadata, and role requests Admins can now set monthl...

Two new models and more controls over generative apps | Learn | Hex Technologies

Two new models and more controls over generative apps | Learn | Hex Technologies

8/4/2026

Two new models and more controls over generative apps | Learn | Hex Technologies ā† View full changelog July 8, 2026 # Two new models and more controls over generative apps July 8, 2026 ### Two new models and more controls over generative apps Kimi 2.7 and Claude Fable 5 join the model picker, ...

Alternatives

  • Databricks

    It offers a unified data and AI platform with collaborative notebooks, Spark, and MLflow for end-to-end data science workflows.

  • Deepnote

    This collaborative data science notebook platform provides a modern interface and real-time collaboration features for data analysis and machine learning.

  • JupyterLab

    As a web-based interactive development environment, it allows users to work with notebooks, code, and data in a flexible and extensible manner.

  • Google Colaboratory

    A free, cloud-based Jupyter notebook environment that enables collaborative data analysis and machine learning with zero setup.

  • Mode Analytics

    It integrates SQL, Python/R notebooks, and interactive dashboards into a single platform for collaborative data exploration and reporting.

  • Dataiku

    This end-to-end platform empowers data professionals to build, deploy, and manage AI solutions through a collaborative and visual interface.

  • Amazon SageMaker Studio

    An integrated development environment (IDE) for machine learning on AWS, providing tools for building, training, and deploying models.

  • Domino Data Lab

    An enterprise MLOps platform that offers a collaborative data science workbench for developing, deploying, and managing models at scale.

  • Count

    This collaborative data analysis platform focuses on SQL and Python notebooks, facilitating interactive data exploration and storytelling within teams.

  • Microsoft Azure Machine Learning Studio

    It provides a comprehensive set of tools and services for the entire machine learning lifecycle, from data preparation to model deployment on Azure.

FAQ

User Reviews

4.0/5.0
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Pricing

Pricing Model: Freemium

Community

For hobbyists completing small projects and showcasing work.

Free

Professional

For individuals accelerating data insights and solo workflows.

$36 per Editor / month
monthly

Team

For companies collaborating with data and automating manual work.

$75 per Editor / month
monthly

Enterprise

For organizations requiring advanced security, governance, and support.

Custom

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