# Supaboard vs Hex

> Seventeen capabilities compared, from price and connectors to AI analysts, alerts, MCP support and answer accuracy, each figure sourced to Hex's own pages.

HTML version: https://supaboard.ai/compare/hex

## At a glance

| Row | Supaboard | Hex |
| --- | --- | --- |
| Price | **$99/seat/mo** — Or $83 billed annually. Usage credits are in the seat | **$0-$75/editor/mo** — free Community tier, Professional $36/editor/mo, Team $75/editor/mo, Enterprise custom, all confirmed USD (https://hex.tech/pricing/, checked 2026-09-10) |
| AI native | **Yes** — The agent is the product, not a panel added to a dashboard tool | **No** — Hex launched in 2019 as a SQL/Python/no-code notebook; Magic, Threads, and Context Studio are AI layered on top of that product |
| AI data analysts | **Yes** — Agents tuned on your business rules and metric definitions, with the SQL shown beside every answer | **Partial** — Threads lets anyone ask questions in plain language, but is scoped to endorsed, modeled data the data team curates (https://hex.tech/product/threads/, checked 2026-09-10) |
| Deep reasoning | **Yes** — Deep Dive answers why a number moved and what to do next, not only what it is | **Partial** — Agent Tasks can proactively investigate a metric and send a root cause analysis, but this runs on a schedule rather than on demand in every answer (https://hex.tech/blog/tasks/, checked 2026-09-10) |
| Data apps, AI made | **Yes** — Live data apps on your own design system, from a prompt | **Partial** — Hex's agent can build custom generative apps from a prompt, but this is in beta; the default path is an analyst building in a notebook then publishing (https://hex.tech/product/data-apps/, checked 2026-09-10) |
| Dashboards, AI made | **Yes** — A live dashboard from a single prompt | **Partial** — generative dashboards from a prompt are described as a beta capability, not the default workflow (https://hex.tech/product/data-apps/, checked 2026-09-10) |
| AI workflows | **Yes** — One prompt builds the whole chain: detect, analyse, export and route the result | **Partial** — Agent Tasks run on a schedule, investigate a metric, and deliver results to Slack or email, but this is not a full detect-analyze-export-route automation builder (https://hex.tech/blog/tasks/, checked 2026-09-10) |
| Alerts | **Yes** — Threshold and anomaly alerts described in plain English, which analyse the change rather than only announce it | **Yes** — subscriptions and conditional notifications alert on scheduled-run completion or a defined condition, plus agent-driven investigation of unexpected changes (https://hex.tech/blog/native-alerts-for-metrics/, checked 2026-09-10) |
| Automated reporting | **Yes** — Scheduled reports written by an agent and delivered as PDF, PowerPoint or Excel | **Partial** — scheduled runs deliver to Slack or email with CSV attachments or PNG/PDF screenshots; no PowerPoint or Excel export (https://learn.hex.tech/docs/share-insights/app-notifications, checked 2026-09-10) |
| Cross-source data query | **Yes** — One question spanning every connected source | **Yes** — Threads can query multiple connected data sources within a single conversation (https://learn.hex.tech/docs/explore-data/threads, checked 2026-09-10) |
| Python scripts | **Yes** — SQL and Python in one editor, over every connected source | **Yes** — native Python cells alongside SQL in every notebook, with integrated package management and AI-assisted code fixes (https://hex.tech/product/notebooks/, checked 2026-09-10) |
| Slack, Teams, Claude, ChatGPT | **Yes** — Slack, Teams, Claude, ChatGPT and Cursor | **Partial** — native in Slack; Claude, Cursor, ChatGPT, Codex, and Glean can reach Hex via its MCP server, but there is no Microsoft Teams surface for the agent (https://learn.hex.tech/docs/api-integrations/mcp-server, checked 2026-09-10) |
| MCP support | **Yes** — In both directions: we expose one, and we read yours | **Both** — Hex ships its own MCP server for external assistants, and its agent can also act as an MCP client connecting to Notion, Linear, and other MCP servers (beta) (https://learn.hex.tech/changelog/2026-05-28, checked 2026-09-10) |
| Query bench | **Yes** — SQL and Python with schema-aware autocomplete, and AI edits proposed as a diff you approve | **Yes** — schema browser, typeahead, Jinja and dbt support in SQL, plus AI-assisted code fixes across SQL and Python cells (https://hex.tech/product/notebooks/, checked 2026-09-10) |
| Context and memory management | **Yes** — Rulesets, knowledge, dropped files and MCP sources such as Notion | **Yes** — Context Studio holds semantic models, endorsed tables, and published work as persistent team-level context the agent draws on across notebooks, Slack, and CLI (https://hex.tech/product/context-studio/, checked 2026-09-10) |
| Connectors | **700+** — Connectable, 124 of them without talking to us | **30+** — named as Snowflake, BigQuery, dbt, Databricks, and 30+ more, concentrated in warehouses, databases, and orchestration/catalog tools (https://hex.tech/product/integrations/, checked 2026-09-10) |
| Answer accuracy | **97.8%** — On LegendEHR's tuned agent in production, with a confidence score on every answer | **None** — no accuracy percentage or benchmark is published for Hex Magic or Threads answers |

Last checked 2026-09-10. Hex pricing page: https://hex.tech/pricing/

## Why choose Supaboard over Hex

Hex gives a data team an excellent shared notebook; Supaboard gives the rest of the company an agent that already knows the business and can act on it. Where Hex's AI generation of apps, dashboards, and workflows is largely in beta layered onto a notebook-first product, Supaboard's dashboards, data apps, scheduled reports, and automations are the product, generated from a prompt and delivered where the team already works — Slack, Teams, Claude, ChatGPT, or Cursor.

## Supaboard vs Hex, in our own words

Hex is a collaborative notebook: SQL, Python, and no-code cells in one canvas, built for data teams who want to write real code together, then publish what they build as apps and dashboards. Pricing starts free (Community), moves to $36/editor/month (Professional) and $75/editor/month (Team), with Enterprise custom — all confirmed in USD on hex.tech/pricing. Hex Magic, the AI layer, and Threads, its conversational analytics surface, sit on top of that notebook. The real question for a buyer isn't whether Hex is good at what it does — data teams genuinely like it — it's whether a notebook built for technical analysts is the same product as an AI analyst meant for a whole company to use directly.
  
  ### Where the cost actually lands
  
  Hex prices per editor: $36-$75/seat/month for people who build in the notebook, with the free Community tier giving non-editors a trial of the agent. That's a data-team tool priced for data teams. A business user who wants to ask a question still routes through Slack, a published Thread, or an app someone built — the license itself doesn't hand a marketing or ops lead a seat to work in directly the way an analyst gets one.
  
  ### What is actually different
  
  Hex's SQL and Python editor is genuinely strong: a schema browser, typeahead, Jinja and dbt support, and AI-assisted code fixes over both SQL and Python cells — full credit there. Hex Magic and Threads have gotten more capable too: Threads can query multiple connected data sources inside one conversation, and Agent Tasks can run on a schedule and send a "root cause analysis and action items" to Slack or email when it catches a metric moving. Hex also ships an MCP server so Claude, Cursor, ChatGPT, Codex, and Glean can query a Hex workspace, and — as of a May 2026 beta — the Hex Agent can act as an MCP client itself, pulling in Notion and Linear.
  
  What's still missing is breadth working as one system. Generative apps and dashboards from a single prompt exist, but only in beta — the default path is still an analyst building in a notebook and publishing. Agent Tasks deliver to Slack or email as CSV or a PNG/PDF screenshot; there's no PowerPoint export, and no way to chain detect, analyze, export, and route into one automation the way a workflow builder would. Alerts are threshold- and condition-based rather than a dedicated statistical anomaly detector. Chat presence is Slack natively, plus MCP access from a handful of AI IDEs and assistants — there's no Microsoft Teams surface for the agent itself (Teams only shows up as an enterprise support channel on the pricing page). And connectors number "30+" beyond the four named — solid for warehouses and databases, narrower than a connector catalogue built to reach every SaaS tool a non-technical team already uses.
  
  Supaboard starts from the other direction: one agent, tuned on a company's own metric definitions, that a non-technical person uses directly — building a dashboard, a live data app on the company's own design system, a scheduled PDF/PowerPoint/Excel report, or a full detect-analyze-export-route workflow from a single prompt, across every connected source, in Slack, Teams, Claude, ChatGPT, or Cursor.
  
  ### What to test if you trial both
  
  If your team writes SQL and Python daily and wants one place to do it collaboratively, trial Hex's notebook and its schema-aware editor directly — that's its strongest ground. If the real test is whether a non-technical operator can get a trustworthy answer, a live dashboard, and a routed weekly report without a data team building it for them first, run that exact workflow in both products and see which one gets there without an analyst in the loop.

## FAQ

### Is Hex cheaper than Supaboard?

On paper, yes — Hex's Professional tier is $36/editor/month versus Supaboard's $99 (or $83 annual) per seat. But Hex prices editors, i.e. people who build in the notebook; a non-technical business user still needs someone else to publish an app or Thread for them. Supaboard's seat is built for the person asking the question directly.

### Can Supaboard read the same data Hex already connects to?

Yes. Supaboard connects to the same warehouses and databases (Snowflake, BigQuery, Postgres, and hundreds more) that Hex's notebooks query, so switching or running both isn't a data migration.

### What does Supaboard produce for a non-technical user that Hex doesn't?

A live dashboard, a data app on your own design system, or a scheduled PDF/PowerPoint/Excel report — all from one prompt, with no analyst publishing step. Hex's equivalents (generative apps and dashboards) exist but are in beta, and its default path is still an analyst building and publishing from a notebook.

### Do I still need someone who knows SQL and Python?

For Hex, yes — its core product is a SQL/Python notebook, and that's where its real strength is. For Supaboard, the agent writes and shows the SQL behind every answer, but the person asking doesn't need to know SQL to get or trust it.

### Can Supaboard run inside our own VPC?

Yes, on the Enterprise plan — single-tenant containers, your own model provider keys, and no data egress.

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