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Hex vs. Mode

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 Mode at Free. Hex carries the higher aggregate rating (4.5/5 vs 4.5/5).

Full comparison

Hexfrom Free
Modefrom Free
Audyense Score70ASStrong56AS*Fair
PositioningCollaborative SQL, Python, no-code, and AI analytics in one data workspace.Analyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Free tierYesYes
DeploymentCloud / SaaSCloud / SaaS
Best fitStartup, SMB, Mid-market, EnterpriseSMB, Mid-market, Enterprise
Pricing plans
  • CommunityFree
  • Professional$36
  • Team$75
  • EnterpriseCustom pricing
  • StudioFree
  • BusinessCustom pricing
  • 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—
Python and R notebooks—Yes
Interactive dashboards—Yes
Reusable datasets—Yes
Governed metrics—YesSupports dbt Semantic Layer integration.
Custom data apps—Yes
Advanced analytics—Yes
Role-based access control—YesEnterprise feature.
SQL editor—Yes
Integrations verified28+—
Aggregate rating4.5 · 383 reviews4.5 · 330 reviews
Integrations
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksPostgreSQLClickHouse+9 more
SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 more
Security & compliance
SOC 2 Type IIHIPAA
—
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.
  • Native SQL, Python, and R workflow with results flowing into dashboards and reports.
  • Strong bridge between ad hoc analysis, advanced analytics, and self-serve reporting.
  • Reusable datasets and governed metrics reduce repeated analyst work.
  • Custom data apps and embedded analytics expand the use case beyond static dashboards.
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.
  • The platform is optimized for analyst-led teams rather than pure business-user self-service.
  • Enterprise identity, access, and support capabilities are not part of the free Studio tier.
  • Pricing and packaging are less transparent for Business and Enterprise.
  • Python/R environments and warehouse performance still require data-team administration.
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