How much does Hex cost per user?

Professional costs $36 per Editor monthly, Team costs $75, and Enterprise pricing is custom. Compute is billed separately at $0.32 to $4.06 per hour.

Does Hex offer row-level security?

Hex documentation does not show dedicated row-level security. Its access controls apply to projects and connections rather than filtering rows for each user.

Does Hex integrate with Microsoft Teams?

No. Hex's chat agent is available in Slack, but its product and integration documentation does not list a Microsoft Teams app.

All comparisons

Dot vs Hex

Dot gives business teams governed answers without moving analysis into another IDE. Hex gives analysts a flexible notebook.

What are the differences between Dot and Hex?

Showing 15 of 43 capabilities across 9 categories

01 / 10

Who can use it to get answers?

Built for business users, not just analysts

Dot: Yes. Built for business self-serve, not the data team.
Hex: Partly. Threads (beta) targets stakeholders; needs Explorer seat. Source

02 / 10

Where can users receive answers?

Native Microsoft Teams app

Dot: Yes. Native Microsoft Teams app alongside Slack
Hex: No. Slack agent; no Teams app Source

Reachable over MCP from other assistants

Dot: Yes. MCP server reaches Claude, ChatGPT, and Copilot.
Hex: Partly. MCP server limited to Claude and Cursor. Source

03 / 10

Which data sources can it access?

Joins data across separate sources

Dot: Yes. Multiple sources in one workspace, cross-source analysis.
Hex: Partly. Separate per-connection SQL cells joined via Python. Source

04 / 10

Which business context grounds its answers?

Grounded in LookML

Dot: Yes. Reads Looker/LookML as grounding context.
Hex: No. No Looker or LookML connector listed. Source

06 / 10

Who owns and maintains the business logic?

Context stays current when schemas change

Dot: Yes. Schema changes trigger assisted context review
Hex: Partly. Schema metadata refreshes; deeper context needs review Source

07 / 10

Which outputs can it produce?

Scheduled reports

Dot: Yes. Scheduled PowerPoint and PDF reviews with analysis
Hex: Partly. App snapshots and PDF export, six-tab limit Source

Exports decks and PDFs

Dot: Yes. Automated PowerPoint/PDF business-review export.
Hex: Partly. Static PDF snapshot of an app, 6-tab max. Source

Conditional alerts and monitoring

Dot: Yes. Alerts only when thresholds are met
Hex: Partly. Scheduled notifications; threshold controls undocumented Source

White labeling and embedded analytics

Dot: Partly. Dashboard embedding; limited white-label controls
Hex: Yes. Enterprise Embed API supports white-label delivery Source

Notebook or IDE for analysts

Dot: No. No notebook/IDE; runs Python internally, not analyst-facing.
Hex: Yes. SQL/Python/R cells; IDE-class packages, reactive execution. Source

08 / 10

Which governance and security controls are included?

Self-hosting available

Dot: Partly. Self-hosted option, but Enterprise tier only.
Hex: No. Single-tenant AWS deployment only, not self-hosted. Source

09 / 10

What is the product built to become?

Purpose-built as a full AI analytics platform

Dot: Yes. Purpose-built for AI analytics across the full workflow
Hex: Partly. A collaborative notebook platform expanding into AI agents

10 / 10

How do pricing and cost controls work?

Public, predictable pricing

Dot: Yes. Published per-tier prices; usage metered in credits
Hex: Partly. Published per-editor prices; Enterprise and compute custom Source

Hard usage limits, spend visibility, and ROI

Dot: Yes. Set usage limits; track spend and ROI
Hex: Partly. Seat or contract limits; ROI tracked separately Source

Across all 43 capabilities

Dot36 supported2 partial5 not available

Hex26 supported10 partial7 not available

Category	Decision point	Dot	Hex
01 / 10Who can use it to get answers?	Built for business users, not just analysts	Yes. Built for business self-serve, not the data team.	Partly. Threads (beta) targets stakeholders; needs Explorer seat. Source
02 / 10Where can users receive answers?	Native Microsoft Teams app	Yes. Native Microsoft Teams app alongside Slack	No. Slack agent; no Teams app Source
02 / 10Where can users receive answers?	Reachable over MCP from other assistants	Yes. MCP server reaches Claude, ChatGPT, and Copilot.	Partly. MCP server limited to Claude and Cursor. Source
03 / 10Which data sources can it access?	Joins data across separate sources	Yes. Multiple sources in one workspace, cross-source analysis.	Partly. Separate per-connection SQL cells joined via Python. Source
04 / 10Which business context grounds its answers?	Grounded in LookML	Yes. Reads Looker/LookML as grounding context.	No. No Looker or LookML connector listed. Source
06 / 10Who owns and maintains the business logic?	Context stays current when schemas change	Yes. Schema changes trigger assisted context review	Partly. Schema metadata refreshes; deeper context needs review Source
07 / 10Which outputs can it produce?	Scheduled reports	Yes. Scheduled PowerPoint and PDF reviews with analysis	Partly. App snapshots and PDF export, six-tab limit Source
	Exports decks and PDFs	Yes. Automated PowerPoint/PDF business-review export.	Partly. Static PDF snapshot of an app, 6-tab max. Source
	Conditional alerts and monitoring	Yes. Alerts only when thresholds are met	Partly. Scheduled notifications; threshold controls undocumented Source
	White labeling and embedded analytics	Partly. Dashboard embedding; limited white-label controls	Yes. Enterprise Embed API supports white-label delivery Source
	Notebook or IDE for analysts	No. No notebook/IDE; runs Python internally, not analyst-facing.	Yes. SQL/Python/R cells; IDE-class packages, reactive execution. Source
08 / 10Which governance and security controls are included?	Self-hosting available	Partly. Self-hosted option, but Enterprise tier only.	No. Single-tenant AWS deployment only, not self-hosted. Source
09 / 10What is the product built to become?	Purpose-built as a full AI analytics platform	Yes. Purpose-built for AI analytics across the full workflow	Partly. A collaborative notebook platform expanding into AI agents
10 / 10How do pricing and cost controls work?	Public, predictable pricing	Yes. Published per-tier prices; usage metered in credits	Partly. Published per-editor prices; Enterprise and compute custom Source
10 / 10How do pricing and cost controls work?	Hard usage limits, spend visibility, and ROI	Yes. Set usage limits; track spend and ROI	Partly. Seat or contract limits; ROI tracked separately Source
Across all 43 capabilities		Dot36 supported2 partial5 not available	Hex26 supported10 partial7 not available

Conclusion

Choose for the analytics stack you want to end up with

The decision is not only which tool answers questions today. It is which product can become your analytics platform over time.

Choose Hex when analysts need a collaborative notebook workspace

Full notebook for SQL, Python, and R with version history.
Grounds natively on dbt MetricFlow, Cube, AtScale, and Snowflake Semantic Views.
Version-controlled evaluations test changes before publication.

Watch out

Complex projects can lag or error. Reviewers mention slow startup, lag, and recurring errors as notebooks add queries, calculations, or larger datasets. ^[1][2]
Dashboard visualization options feel limited. Some users turn to another tool for highly designed dashboards because Hex offers fewer visualization and formatting controls. ^[1][2]

Pricing

Professional $36/Editor/month; Team $75/Editor/month; Enterprise custom pricing.
Compute billed separately, $0.32/hr to $4.06/hr per instance.
Full Threads/agent access needs a paid Explorer seat add-on.

Source

Choose Dot for best-of-breed AI analytics that can replace BI

Connect Dot to the data sources and semantic models you already have, then start with one agent. Context, apps, and business logic stay version-controlled in a repository you own, so they never become a Dot-only asset. Add dashboards, reporting, and governed workflows as adoption grows, then retire BI software you no longer need.

Watch out

Dot is growing quickly. Its smaller team may not offer the same level of hands-on support as a larger vendor in every region.

Pricing

Free plan, no credit card
Pro at $200/month, or $180/month billed annually. Unlimited users.
Team at $800/month, or $720/month billed annually. Adds single sign-on and row-level security.
Enterprise is custom: self-hosting, SLAs, and volume terms

Full pricing

Why the pricing model matters

Frontier AI has variable inference cost. A vendor that relies only on seat pricing must eventually meter AI, absorb the cost, or limit capability. Dot makes usage visible, lets teams set limits, and tracks the return on that spend.

Receipts

Benchmarked against human analysts, and measured in production

DABStep is Adyen’s public data-analysis benchmark. Dot scored above trained human analysts. It is independently published and available to inspect. In production, customers report these outcomes.

18× ROI

Choco, from time saved on analytics

12,000+ hours

saved every year at Duolingo, across 5,000+ tables

99% faster

time-to-insight at Emerge

€800K found

in a single investigation at KRY

Every Dot answer shows its work. Click any number to inspect the query.