GILD verdict
If your data and analysts live in Databricks, start with Genie.
It reads Unity Catalog permissions directly, and its chat usage is free into 2027. Choose Hex when your data spans several platforms or your analysts want notebooks and published apps on the same context the business user agent reads. Budget analyst time to curate and test either one before business users arrive.
Hex fits mixed estates: it sits on top of 16 databases, Databricks among them, and adds notebooks and published apps to the same context. Databricks Genie runs inside Databricks on Unity Catalog data and SQL warehouses. Both expect the data team to supply table descriptions, example queries, and business rules before launch.
Choosing between Hex and Databricks Genie
Choose Hex if
- Your data spans more than one platform, or lives in Snowflake, BigQuery, or Redshift as well as Databricks.
- Analysts want SQL and Python notebooks and publishable apps on the same context the business user agent reads.
- You want answers in Slack and in assistants such as Claude and ChatGPT through an MCP server.
Choose Databricks Genie if
- Your data is in Unity Catalog and your analysts already work in Databricks.
- You want answers governed by each user's own Unity Catalog permissions, on SQL warehouses you already run.
- Chat usage cost matters: Genie One and Genie Agents usage by users is free through January 31, 2027.
Side by side
| Dimension | Hex | Databricks Genie |
|---|---|---|
| Data it reaches | 16 supported databases, with Snowflake, BigQuery, Databricks, and ClickHouse in its top support tier | Tables, views, and metric views registered in Unity Catalog, up to 50 per Genie Agent |
| Where business context lives | Endorsed data and projects, workspace guides, and semantic models authored in Hex or synced from dbt MetricFlow, Cube, or Snowflake Semantic Views | Unity Catalog descriptions, example SQL queries, SQL expressions for metrics and filters, and text instructions in each Genie Agent |
| Who answers whom | Threads for business users; the Notebook Agent for technical users who audit its SQL and code | Genie One for business users, Genie Agents configured by data teams, and Genie Code for developers |
| Testing accuracy | Eval suites in YAML with rubrics, run from the CLI and scheduled in Context Studio on Team and Enterprise. In Hex's own DataBench, models scored 54% on trap tasks where the obvious answer is wrong615 | Benchmarks that score response accuracy at scale, plus user feedback and review requests on each answer. One healthcare team's agent answered 30% of its 20 test questions correctly before curation and 100% after a dataset rebuild1216 |
| PricingAs published by each vendor. | 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. 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 | Genie One and Genie Agents usage by users free through January 31, 2027 (service principals billed). Genie Code pay-as-you-go since July 8, 2026 with a free monthly allowance per user. Queries run on a pro or serverless SQL warehouse |
| Access control | Workspace roles, data connection permissions, and Endorsed Mode, with OAuth connections on Enterprise that pass through each user's warehouse permissions | Each end user's Unity Catalog permissions, evaluated on every query; partner-powered AI features must be enabled at account and workspace level |
| Building on it | MCP server for Claude, ChatGPT, Cursor, Codex, and Glean, plus a CLI and REST API on Team and Enterprise | Genie Agents API for applications and CI/CD, with chat and agent endpoints plus management endpoints |
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, 29 points above Databricks Genie at +36. Most of the gap is in complaints, with 6 of Databricks Genie's 41 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 Databricks Genie's +36 on 20, 13 and 6.
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 two of 7 layers. On AI assistant, Hex touches it and Databricks Genie supports it. On Enterprise search, Hex touches it and Databricks Genie supports it. 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 | Databricks Genie |
|---|---|---|
| Assist | ||
| AI assistant | Touches | Supports |
| Find | ||
| Enterprise search | Touches | Supports |
The 5 layers where they match
| Layer | Hex | Databricks Genie |
|---|---|---|
| Find | ||
| Web research | Touches | Touches |
| Create | ||
| Documents | Touches | Touches |
| Meeting notes | Touches | Touches |
| Analyze | ||
| Data analysis | Core | Core |
| 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. Answer Quality and Reach Beyond Databricks reach 5 sources from 3 authors only for Databricks Genie, at 13 of 14 and 3 of 6. Hex needs a pilot on the same questions before you choose on either.
| Praised for | Hex | Databricks Genie |
|---|---|---|
| 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 |
| Answer Quality | Not a theme in its sources | 13 of 14 |
| Reach Beyond Databricks | Not a theme in its sources | 3 of 6 |
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, Deployment as Code and Cost & Billing reach 5 sources from 3 authors only for Databricks Genie, at 7 of 8 and 6 of 6. Hex needs a pilot on the same questions before you choose on either. Speed reaches 5 sources from 3 authors only for Hex, at 6 of 8. Databricks Genie needs a pilot on the same questions before you choose on it.
| Raised as a concern | Hex | Databricks Genie |
|---|---|---|
| Speed | 6 of 8 | Not a theme in its sources |
| Deployment as Code | Not a theme in its sources | 7 of 8 |
| Cost & Billing | Not a theme in its sources | 6 of 6 |
16 sources
- Hex pricing
- Hex docs: Credits
- Hex docs: Data connections introduction
- Hex docs: Introduction to semantic modeling
- Hex docs: Threads
- Hex docs: Evals
- Hex docs: AI in Hex
- Hex docs: Hex MCP server
- Databricks docs: Genie
- Databricks docs: Create and manage a Genie Agent
- Databricks docs: Tune Genie Agent quality
- Databricks docs: Test and monitor a Genie Agent
- Databricks docs: Genie Agents API
- Databricks: Genie Agents
- Hex blog: DataBench, a benchmark for agentic analytics (Aug 13, 2026)
- Databricks Community: Operationalizing a Live Genie Space, by Salman Ahmed (Sep 1, 2026)