GILD verdict
Use Hex for warehouse questions that depend on metrics the data team defines and audits, and ChatGPT for one-off work on files and exports.
ChatGPT users can also start a Hex Thread through Hex's MCP server to query that governed context.
Hex wins wherever an analysis must be rerun or audited, because every answer stays as a notebook or app others can open. Hex queries the warehouse live and answers from context the data team curates. ChatGPT works on what a person hands it, such as spreadsheets, exports, Google Drive files, and plugins an admin approves.
Choosing between Hex and ChatGPT
Choose Hex if
- The data that matters lives in a warehouse such as Snowflake, BigQuery, or Databricks, and answers should run against it live.
- Business users need answers from metrics the data team defined, with endorsed data and semantic models steering the agent.
- Results should outlive the chat as published apps, scheduled runs, and alerts that others reuse.
Choose ChatGPT if
- Most analysis starts from CSV, TSV, or Excel files, exports, or Google Sheets, with no modeled warehouse behind it.
- People need one assistant for analysis alongside writing, research, and presentations, under one ChatGPT plan.
- The task is a one-off report or memo, where ChatGPT Work cleans and joins the inputs and returns a chart, notebook, or spreadsheet.
Side by side
| Dimension | Hex | ChatGPT |
|---|---|---|
| Data it reaches | Live queries against 16 supported databases, including Snowflake, BigQuery, Databricks, Redshift, and Postgres, plus uploaded files | Uploaded CSV, TSV, and Excel files, approved Google Drive files, and services connected through plugins and MCP servers an admin enables |
| Where business context lives | Endorsed tables and projects, semantic models (authored in Hex or synced from dbt MetricFlow, Cube, or Snowflake Semantic Views), and workspace guides | The metric glossary and source files a person attaches to the task, plus project sources and skills |
| AI for business users | Threads, available on every plan for Explorer roles and above, in Hex, in Slack on Team and above, and through the MCP server | Chat and ChatGPT Work, which runs multi-step tasks with files, plugins, and approved tools and returns a file to review |
| What the result becomes | A notebook of SQL and Python cells, a published app, and scheduled runs or conditional alerts by email or Slack | A chart, memo, notebook, spreadsheet, or deck saved to the conversation or Library |
| Oversight of AI answers | Context Studio observability on Team and Enterprise, with topics, warnings, and eval suites that grade the agent against rubrics | User analytics, audit logs, and usage monitoring through the Compliance API on Enterprise |
| PricingList prices in US dollars. Hex prices Editor seats and allows unlimited users on every plan. | Community free; Professional US$36 and Team US$75 per Editor per month, billed monthly on self-serve; Enterprise custom, billed annually by order form | Free US$0, Go US$8, Plus US$20, Pro from US$100 per month; Business US$20 per user per month billed annually, or US$25 billed monthly; Enterprise by contract |
| AI usage limits | Monthly grants per paid seat (30 on Professional, 40 per Team Editor, 10 per Team Explorer) that do not roll over; auto top-ups buy 50 credits for US$25 | Usage limits that vary by model and task, with credits to extend usage on Plus, Pro, and flexible-pricing Business and Enterprise plans |
| Identity and data controls | OIDC SSO, OAuth warehouse connections, audit logs, and bring-your-own-key AI on Enterprise; AI providers under zero data retention by default | SAML SSO and no training on business data by default on Business; SCIM, EKM, RBAC, and data residency controls on Enterprise |
What practitioners report, side by side
Each product's figures come from its own practitioners, for the group you pick.
Overall signal
Leaders and teams rate Hex +65, 51 points above ChatGPT at +14. Most of the gap is in complaints, with 10 of ChatGPT's 38 sources negative against 0 of Hex's 33.
The score counts the authors from leaders and teams that take a side, one vote each with their latest view, and is how far positive votes lead negative ones, per 100 votes, so Hex's +65 rests on votes split 20 positive, 11 mixed and 0 negative and ChatGPT's +14 on 15, 11 and 10.
A lead of a fifth of the votes reads positive and a lead of half strong positive, with the same lines below zero. The dots show each source, positive, mixed, negative. Run a pilot on questions your analysts already answer to measure how often its numbers match theirs.
Footprint on the AI Knowledge Work stack
They differ on six of 7 layers. Hex owns one that ChatGPT does not, and ChatGPT owns one that Hex does not. Coverage is each product's placement on this stack, as its product page shows it. Core is a job the product owns; Supports and Touches are jobs it helps with. Coverage says nothing about how well a product does them.
| Layer | Hex | ChatGPT |
|---|---|---|
| Assist | ||
| AI assistant | Touches | Core |
| Find | ||
| Web research | Touches | Supports |
| Enterprise search | Touches | Supports |
| Create | ||
| Documents | Touches | Supports |
| Meeting notes | Touches | Supports |
| Analyze | ||
| Data analysis | Core | Supports |
The 1 layer where they match
| Layer | Hex | ChatGPT |
|---|---|---|
| Automate | ||
| Automation | Supports | Supports |
What practitioners praise
Among leaders and teams, Hex alone has four praise themes that reach 5 sources from 3 authors. AI Agents and Analysis Workspace lead, at 15 of 17 and 11 of 12. Custom GPTs, Projects & Memory reaches 5 sources from 3 authors only for ChatGPT, at 3 of 5. Hex needs a pilot on the same questions before you choose on it.
| Praised for | Hex | ChatGPT |
|---|---|---|
| AI Agents | 15 of 17 | Not a theme in its sources |
| Analysis Workspace | 11 of 12 | Not a theme in its sources |
| Data Apps & Sharing | 7 of 10 | Not a theme in its sources |
| Collaboration | 5 of 7 | Not a theme in its sources |
| Custom GPTs, Projects & Memory | Not a theme in its sources | 3 of 5 |
Each count is the sources that praise a theme, or raise it as a concern, out of those that discuss it. A row pairs the two products when both carry a theme under the same or an equivalent name.
A count ending in "so far" has under 5 sources from 3 authors among leaders and teams. "Not a theme in its sources" means GILD found no theme of that name in that product's sources.
What practitioners raise as concerns
Among leaders and teams, ChatGPT alone has three concern themes that reach 5 sources from 3 authors. Workspace Administration and Usage Limits & Cost lead, at 7 of 10 and 6 of 9. Speed reaches 5 sources from 3 authors only for Hex, at 6 of 8. ChatGPT needs a pilot on the same questions before you choose on it.
| Raised as a concern | Hex | ChatGPT |
|---|---|---|
| Speed | 6 of 8 | Not a theme in its sources |
| Workspace Administration | Not a theme in its sources | 7 of 10 |
| Usage Limits & Cost | Not a theme in its sources | 6 of 9 |
| Data Privacy & Retention | Not a theme in its sources | 3 of 8 |
15 sources
- Hex pricing
- Hex docs: Credits
- Hex docs: Data connections introduction
- Hex docs: Introduction to semantic modeling
- Hex docs: Threads
- Hex docs: Context Studio
- Hex docs: Hex MCP server
- Hex docs: AI data privacy
- Hex docs: SSO
- ChatGPT docs: Pricing
- ChatGPT docs: Introducing ChatGPT Work
- ChatGPT docs: ChatGPT Work overview for enterprises
- ChatGPT docs: Plugins and MCP servers for admins
- ChatGPT use case: Analyze datasets and build reports
- arXiv: Semantic Layers for Reliable LLM-Powered Data Analytics, by Rumiantsau and Fokeev (Apr 28, 2026)