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Hex vs. Supaboard

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Hex starts at Free per seat, versus Supaboard at $85. Supaboard carries the higher aggregate rating (5.0/5 vs 4.5/5). Supaboard lists more integrations (700+ vs 28+).

Full comparison

Hexfrom Free
Supaboardfrom $85 per user/month (monthly billing; $99/user/month billed monthly, cheaper with annual)
Audyense Score70ASStrong52ASLow
PositioningCollaborative SQL, Python, no-code, and AI analytics in one data workspace.AI-Powered Business Intelligence, Governed Self-Serve Analytics
Free tierYesNo
DeploymentCloud / SaaSCloud / SaaS
Best fitStartup, SMB, Mid-market, EnterpriseStartup, SMB, Mid-market, Enterprise
Pricing plans
  • CommunityFree
  • Professional$36
  • Team$75
  • EnterpriseCustom pricing
  • Individual$85
  • Business$199
  • EnterpriseCustom pricing
Embedded analyticsYesAvailable as an Enterprise add-on.—
Semantic layer / data modelingYesSupports dbt MetricFlow, Cube, and Snowflake semantic model sync.—
SQL notebooksYes—
Python and RPartialPython is first-class; R is supported through data workflows rather than as the core notebook runtime.—
Interactive data appsYes—
Scheduled runs and alertsYesAvailable on Team and Enterprise.—
AI analyticsYesNotebook, Threads, and semantic-model agents vary by plan.—
Git integrationYes—
Integrations verified28+700+
Aggregate rating4.5 · 383 reviews5.0 · 2 reviews
Integrations
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksPostgreSQLClickHouse+9 more
SlackMicrosoft TeamsClaudeCursorChatGPT
Security & compliance
SOC 2 Type IIHIPAA
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Pros
  • SQL, Python, no-code, AI, and app-building workflows in one environment.
  • Fast path from ad hoc analysis to shareable reports and interactive apps.
  • Strong collaboration features including multiplayer, comments, versioning, and shared components.
  • Connects to warehouses, cloud storage, orchestration tools, and semantic models.
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Cons
  • Advanced compute, AI agents, and usage credits can complicate the cost model.
  • Visualization depth is not always a match for dedicated dashboarding products.
  • Most meaningful governance and security controls are reserved for Team or Enterprise.
  • Cloud-first deployment may not fit teams that require full self-hosting.
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