Hex

Hex is a hosted data platform for teams that want to move from analysis to shared data applications. It is strongest for collaborative analytics groups working across notebooks, conversational self-service, and recurring data workflows. Choose it for that breadth; look elsewhere if self-hosting or a simple, inexpensive notebook is the priority.

Overview

Hex combines SQL, Python, and R work with conversational analysis and app building. Real-time collaboration and connections to data systems make it suited to shared work across analysts and other data users, rather than just an individual’s notebook. Hosted execution and GPU compute remove the need to run the platform yourself, but rule Hex out for organizations that require a self-hosted deployment.

Its breadth is most compelling when analysis needs to reach beyond a notebook: Hex can connect data workflows to app runs and scheduled analytical flows. For teams that only need to query data or maintain notebooks, that wider platform may be more than they need.

Key features

Hex supports Jupyter Notebook (.ipynb) and Hex YAML (.yaml) formats, with version history and real-time collaboration for shared projects. Its agent is designed to ground answers in organizational context and can connect with Claude, Codex, Cursor, Slack, MCP, a CLI, APIs, or custom agents. Context Studio and Evals provide ways to inspect topics, trends, and warnings about answer quality; that is useful for teams adopting conversational analysis, though it does not remove the need to assess answers.

Users can build data applications from prompts while retaining code underneath and controls over the finished app. Connections span data warehouses, local files such as CSV and XLSX, metadata and semantic-layer tools, catalogs, machine-learning tools, and workflow orchestrators. Airflow, Dagster, and dbt integrations can trigger analytical flows and app runs from data pipelines, making Hex a better fit when data work needs to become part of an ongoing process.

Hex supports SQL, Python, and R. Its Trust Center carries SOC 2 Type II, HIPAA, PCI, GDPR, CCPA, EU-US DPF, Swiss-US DPF, and UK-US DPF badges. Audit logs, OIDC SSO, OAuth database connections, and Bring Your Own Key are Enterprise features, so organizations requiring those controls should account for the custom-priced tier.

Pricing

Hex uses a freemium model, with a free plan, paid plans from $36 a month, and a 14-day trial. The paid prices below are billed per Editor / month.

Community: free. It includes any data source, all cell types, small compute, and a Hex agent trial. Hex positions it for hobbyists and small projects. Its small compute and agent trial make it a starting point, not the full paid experience.

Professional: $36 a month. It adds the Hex agent, standard credits, medium compute, 30-day version history, and up to five published apps. This suits individuals who need a more capable personal workspace, but the app cap constrains publishing beyond a small portfolio.

Team: $75 a month. It includes extended credits, unlimited published apps, scheduled runs and alerts, unlimited version history, and advanced compute add-ons. Hex targets companies collaborating on data; the jump is most useful when app volume and recurring workflows matter.

Enterprise: custom pricing. It adds an Explorer seat add-on, audit logs, OIDC SSO, Bring Your Own Key, a single-tenant add-on, and dedicated support. This is the tier for organizations needing advanced governance, security, and support.

Community and Professional both cap published apps at five; Team and Enterprise remove that ceiling. Community and Professional include email support, while Team has priority SLA support options and Enterprise has SLA options that can include Slack and Microsoft Teams. Those differences make the cheaper plans less suitable for teams that depend on extensive app publishing or higher-touch support.

Platforms

Hex runs on the web and provides an API. It is a hosted service, not a self-hosted platform. SQL, Python, and R are supported, along with GPU compute.

Who it's for

Hex is a strong candidate for data teams that want analysts to build in notebooks while other users explore through conversational self-service and finished apps. Professional fits individuals; Team is the natural step for companies collaborating on data and needing unlimited published apps or scheduled runs. Enterprise is aimed at organizations where security controls, governance, and support requirements justify custom pricing.

It is less suited to a solo user seeking only a lightweight notebook, or to an organization whose deployment policy requires self-hosting. The Community tier offers a no-cost starting point, but small compute and a temporary agent trial limit how much it represents the paid platform.

Pros and cons

Pro: Notebooks, conversational analysis, and prompt-based app building share one hosted environment, useful when work must serve both technical and broader data users.

Pro: Airflow, Dagster, and dbt integrations can tie analysis and app runs to data pipelines, supporting recurring workflows rather than isolated queries.

Pro: Enterprise offers named security controls including audit logs, OIDC SSO, and Bring Your Own Key for organizations that need them.

Con: Community and Professional stop at five published apps, so teams exceeding that limit must move to the substantially higher-priced Team tier or Enterprise.

Con: Hosted execution excludes organizations that must run analytics on self-hosted infrastructure.

Con: Enterprise security and dedicated support require custom pricing, which makes budgeting less straightforward than the published per-Editor plans.

Alternatives

Augmented Analytics Software, Notebook Software, Data Science Platforms, SQL Query Tools, and Coding Playgrounds are useful categories for comparing tools around a narrower primary need.

Qlik Sense is a paid alternative with a free trial and a Starter plan at $300 a month for 10 users, billed annually; consider it if its broader platform support, including mobile and self-hosted options, better fits your deployment needs.

disy Cadenza is a paid alternative with a free trial and support for self-hosted, Linux, and macOS use; it may suit teams looking for those platform options, with pricing available by contacting Disy.

Julius AI offers a free plan and a $20 a month Plus plan, with web and mobile apps; consider it for a lower-cost freemium option centered on AI creation.

SAS Visual Analytics is a paid, trial-available option across web, mobile, Windows, and self-hosted platforms; it may fit organizations evaluating those deployment choices, with pricing requested from SAS.

TIBCO Spotfire is a paid option without a free plan, priced at $3,000 a year per user excluding tax, with a free trial; consider it if its paid analytics offering fits better than Hex’s freemium model.

Zoho Analytics has a free plan for two users, 10,000 rows, and five workspaces, plus a Basic plan at $24 a month billed annually; consider it for a lower-priced entry point with explicit small-team caps.

Alteryx Designer has a Starter Edition at $250 a month billed annually for 1–10 seats, cloud only, with file sources including CSV, XLSX, and JSON; it may suit teams prioritizing that paid, file-oriented cloud plan.

Databricks Notebooks offers a free web-based edition with one serverless workspace and limited compute size and usage; consider it when a free notebook environment is the main requirement.

Verdict

Choose Hex if your data team wants one hosted platform for collaborative notebooks, context-aware conversational work, and applications tied to recurring pipelines. Its strongest case is the link between analysis and publishable, operational data apps. Look elsewhere if self-hosting is mandatory, or if you need more than five apps but cannot justify Team or custom-priced Enterprise.