Hex is a collaborative data workspace made by Hex Technologies Inc, founded in 2019. It combines SQL, Python, and no-code cells inside notebooks, alongside business intelligence style reporting, in a single browser-based product.
The platform is organized around several modules. Notebooks handle interactive analysis, a BI layer supports dashboards and data apps, Context Studio manages and monitors AI agent behavior, and a CLI gives terminal-based control over projects and automation.
Hex positions itself as an AI analytics platform. It pairs AI agents, such as a Notebook Agent for code generation and a conversational tool called Threads, with a shared context layer meant to keep AI-generated answers consistent with company-defined metrics.
Hex connects to common data warehouses including Snowflake, BigQuery, and Databricks, and integrates with dbt, GitHub, GitLab, and orchestration tools like Airflow and Dagster. It targets both technical data teams and non-technical business users within the same workspace.
Pricing
Hex publishes per-seat pricing on its website. The Community plan is free and includes core notebook functionality with limits on projects, collaboration, and compute size. The Professional plan starts at 36 US dollars per editor per month, and the Team plan is priced at 75 US dollars per editor per month, which adds features such as GitHub sync and reviews. Enterprise pricing is custom and requires contacting sales, and covers advanced security, HIPAA-compliant deployment, and dedicated support. A 14-day free trial of the Team plan is available without a payment card.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Notebooks combine SQL, Python, and no-code cells in one canvas
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AI agents assist with notebook code, semantic models, and generative apps
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Context Studio monitors AI agent usage and manages context sources
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Hex CLI creates projects, cells, and users from the terminal
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Native connections to Snowflake, BigQuery, Databricks, and dbt
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Data apps let non-technical users explore results with input controls
Use Cases
Exploratory Data Analysis
Analysts mix SQL and Python cells inside a single notebook to investigate a dataset. Results can be cached or pushed down to the warehouse depending on the query load.
Publishing Data Apps
Teams turn a finished notebook into an interactive app with filters, dropdowns, and date pickers. Business users adjust inputs without touching the underlying code.
Self-Serve Question Answering
Business stakeholders ask questions in plain language through Threads. The agent draws on the same semantic models and endorsed data that analysts use, reducing conflicting answers.
Governing AI Agent Behavior
Admins use Context Studio to review which questions agents are asked and where they raise warnings. They update guides and endorsements to close context gaps before they affect users.
Automating Analytics Workflows
Engineers script project creation and cell updates with the Hex CLI. This supports scenarios like updating every SQL cell affected by a warehouse schema change in one pass.
Strengths & Weaknesses
Strengths
SQL, Python, and no-code cells work together in one notebook.
Built-in connections cover major warehouses like Snowflake and BigQuery.
Per-seat pricing for Professional and Team plans is published openly.
The CLI supports scripted automation through GitHub Actions and similar tools.
Annual SOC 2 Type II and HIPAA audits support enterprise compliance needs.
Weaknesses
Some users report slow performance and cache refresh delays on large projects.
The price jump from Professional to Team plans is a common complaint.
Enterprise pricing is not published and requires a sales conversation.
The free Community plan caps projects, authors, and compute size.
Who Is This For?
Data analysts and scientists who need combined SQL and Python notebooks for exploratory work.
BI and analytics teams building dashboards and governed, sharable data apps for stakeholders.
Non-technical business users who want to ask data questions in plain language via Threads.
Data platform teams that need CLI-driven automation and CI integration with GitHub Actions.
Frequently Asked Questions
Does Hex offer a free plan?
Yes. The Community plan is free and covers core notebook features, but it limits project count, collaboration, and compute size.
How much does the Professional plan cost?
The Professional plan is listed at 36 US dollars per editor per month, aimed at individuals and small teams.
How much does the Team plan cost?
The Team plan is listed at 75 US dollars per editor per month and includes a 14-day free trial without a payment card.
Is Enterprise pricing published?
No. Enterprise pricing is custom and requires contacting the Hex sales team directly.
Which data warehouses does Hex connect to?
Hex connects to Snowflake, BigQuery, Databricks, and dbt, along with more than 30 other data sources.
Can non-technical users work in Hex?
Yes. Business users can ask questions through Threads or interact with published data apps without writing code.
Does Hex support version control?
Projects can be exported to GitHub or GitLab to create an audit trail, and the CLI supports scripted, git-based workflows.
What compliance certifications does Hex have?
Hex states it is audited annually for SOC 2 Type II and HIPAA compliance, with deployment options including single-tenant and private cloud.
What is Context Studio used for?
Context Studio lets Admins and Managers observe AI agent usage across a workspace and update the guides and data definitions agents rely on.
Is there a learning curve for new users?
Users familiar with SQL, Python, or Jupyter-style notebooks are likely to adapt quickly, though the AI agents and Context Studio add extra concepts to learn.
Hex integrates with data warehouses and lakehouses including Snowflake, BigQuery, and Databricks, plus more than 30 additional data sources. It has a deep dbt integration, exports projects to GitHub and GitLab, and can be included in orchestration DAGs through Airflow, Dagster, and Prefect. Hex also connects to Slack and MCP for conversational access, and offers a public API for custom integrations.