Hex

Name: Hex
Brand: Hex

The world’s best AI Analytics platform.

Est 2019|Valuation $380M|Raised $171.5M|52 Ref Customers

LinkedIn 31K|Web traffic 471K|FTEs 192|HQ San Francisco, California, US

MarketsSelf-Service Analytics

01Competitive Landscape

Narrative analysis

#### Hex vs BI-first tools (Tableau/Power BI/Looker) - Hex’s differentiation is a project-based, notebook-first workflow that can be published as interactive apps, which can reduce the need to rebuild prototypes in a separate BI tool. - BI-first tools often have advantages in: - Richer visualization customization - More mature governance and administration features - Larger hiring market and established best practices #### Hex vs "collaborative notebook + reporting" peers (Mode, Sigma) - This grouping is the closest competitive set conceptually. - Hex has increased focus on agentic AI workflows and on maintaining a connected context across personas. - Buyers should compare: - Semantic layer depth and governance - Dashboard interactivity and drilldowns - Performance on large/complex queries - Scheduling/orchestration integration and CI/CD patterns #### Market adoption signals - Hex is very highly rated on G2, which is consistent with growing adoption beyond initial early adopters. - Funding announcements and vendor-published customer references indicate continued business activity, though those items originate from vendor-associated materials and should be interpreted accordingly.

	Hex	ThoughtSpot	Tableau (Cloud)
Starting Price	Per-editor monthly: low-to-mid-hundreds for Professional; mid-hundreds for Team; Enterprise custom	Public pricing varies by edition; public materials show multiple editions	Public starting prices for Creator-level editions are often presented in third-party comparisons as comparable to other mid-market BI offerings
Primary Focus	Data teams + cross-functional stakeholders looking for notebooks + apps + AI in one workspace	Search/AI-driven self-serve BI for broad audiences; embedded analytics focus	Mature BI dashboards, broad visualization capabilities, enterprise standardization
Key Strength	Unified notebook-to-app workflow; collaboration; AI-assisted analysis and app building	Natural language/search-driven analytics; embedding options; enterprise BI patterns	Deep visualization capabilities, ecosystem, broad talent pool, enterprise familiarity
Key Weakness	Visualization depth and dashboard interactivity limitations versus BI leaders; performance complaints at scale	Pricing and packaging complexity and consumption predictability concerns (varies)	Less notebook-native; often requires separate tools for data science workflows

01Competitive Landscape

Narrative analysis

Hex vs BI-first tools (Tableau/Power BI/Looker)

Hex’s differentiation is a project-based, notebook-first workflow that can be published as interactive apps, which can reduce the need to rebuild prototypes in a separate BI tool.
BI-first tools often have advantages in:
- Richer visualization customization
- More mature governance and administration features
- Larger hiring market and established best practices

Hex vs "collaborative notebook + reporting" peers (Mode, Sigma)

This grouping is the closest competitive set conceptually.
Hex has increased focus on agentic AI workflows and on maintaining a connected context across personas.
Buyers should compare:
- Semantic layer depth and governance
- Dashboard interactivity and drilldowns
- Performance on large/complex queries
- Scheduling/orchestration integration and CI/CD patterns

Market adoption signals

Hex is very highly rated on G2, which is consistent with growing adoption beyond initial early adopters.
Funding announcements and vendor-published customer references indicate continued business activity, though those items originate from vendor-associated materials and should be interpreted accordingly.

	Hex	ThoughtSpot	Tableau (Cloud)
Starting Price	Per-editor monthly: low-to-mid-hundreds for Professional; mid-hundreds for Team; Enterprise custom	Public pricing varies by edition; public materials show multiple editions	Public starting prices for Creator-level editions are often presented in third-party comparisons as comparable to other mid-market BI offerings
Primary Focus	Data teams + cross-functional stakeholders looking for notebooks + apps + AI in one workspace	Search/AI-driven self-serve BI for broad audiences; embedded analytics focus	Mature BI dashboards, broad visualization capabilities, enterprise standardization
Key Strength	Unified notebook-to-app workflow; collaboration; AI-assisted analysis and app building	Natural language/search-driven analytics; embedding options; enterprise BI patterns	Deep visualization capabilities, ecosystem, broad talent pool, enterprise familiarity
Key Weakness	Visualization depth and dashboard interactivity limitations versus BI leaders; performance complaints at scale	Pricing and packaging complexity and consumption predictability concerns (varies)	Less notebook-native; often requires separate tools for data science workflows