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Dot vs Hex

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price
Dot from $180/mo, Hex from $36/seat/mo — different billing units, so no direct winner
Free plan
Both have one
Public API
Both have one
Best fit
Dot: Operations, sales and finance teams that need quick answers without waiting on an analyst · Hex: Data teams that move from ad-hoc notebooks to shared dashboards and apps
Platforms
Dot: Web, Slack app · Hex: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactDotHex
CategoryData Analysis AssistantsData Analysis Assistants
Pricing modelFreemiumFreemium
Starts at$180/mo$36/seat/mo
Public APIYesYes
Trust score88 / 10084 / 100
PlatformsWeb, Slack app, APIWeb, API
CompanySnowboard Software GmbHHex Technologies Inc.
Last verifiedOct 2, 2026Oct 29, 2026

What our research says

Dot

Dot is a good fit for a company whose data already sits in a warehouse and whose non-technical staff keep asking an analyst for numbers. Putting the answer in Slack or Teams is the practical draw, and the governance features make it easier to approve than a loose chatbot over SQL. It is a poor fit for a team without a clean, documented data model, and the credit meter makes heavy use hard to forecast.

Pros

  • Answers arrive in Slack, Teams or email, where questions are already asked
  • Free plan includes full Pro features, so a real trial on company data is possible
  • Role-based access, SSO and row-level security are on the paid tiers, with SOC 2 Type II and zero data retention at the LLM providers stated on the site
  • Scheduled, presentation-style reports and a deeper multi-step analysis mode go beyond one-off SQL answers

Cons

  • Entry paid price is high for a small team and the cheapest tier excludes SSO and row-level security
  • Credit-based billing means cost depends on how long each analysis runs
  • Answer quality relies on the effort put into training it with business rules and definitions

Hex

Hex fits data teams that write SQL and Python and want one place to explore, publish dashboards and give the rest of the company governed self-serve answers. A solo user who needs a quick spreadsheet-style chat over a CSV, or a company with no warehouse, will pay for much more than it uses.

Pros

  • SQL, Python and no-code cells in one reactive notebook
  • Analyses publish directly as dashboards and interactive apps
  • Agent answers are grounded in curated context with evals and spend observability
  • MCP server and REST APIs connect it to other tools and assistants

Cons

  • Per-editor pricing climbs quickly for larger teams; viewer-type Explorer seats are an Enterprise add-on
  • Larger compute profiles and GPUs cost extra per minute
  • SSO, audit logs and BYOK for model keys require Enterprise

Which one fits

Choose Dot if you need

  • Operations, sales and finance teams that need quick answers without waiting on an analyst
  • Data teams that want to offload ad-hoc requests while keeping metric definitions governed
  • Companies already running Snowflake or BigQuery with Slack or Teams as the daily workspace

Choose Hex if you need

  • Data teams that move from ad-hoc notebooks to shared dashboards and apps
  • Companies on Snowflake, BigQuery or Databricks that want governed self-serve analytics
  • Analysts who mix SQL, Python and charts in one document

Dot vs Hex: the questions people ask

Is Dot cheaper than Hex?

They charge in different units, so there is no like-for-like answer: Dot starts at $180/mo, Hex at $36/seat/mo. Entry price is the lowest paid plan as we last verified it.

Does Dot or Hex have a free tier?

Both: Dot has a free tier, and Hex has a free tier.

Which has a public API, Dot or Hex?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

All Dot alternatives →All Hex alternatives →Browse all Data Analysis Assistants →