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Hex vs. Mode

Elaborado a partir del registro investigado y revisado de cada herramienta. Las cifras se contrastan con las páginas públicas de precios en el momento de la investigación — confirma siempre el precio actual con el proveedor antes de comprar.

La versión corta

Hex parte de Free por usuario, frente a Mode con Free. Hex tiene la valoración agregada más alta (4.5/5 frente a 4.5/5).

Comparación completa

Hexdesde Free
Modedesde Free
Audyense Score70ASSólido56AS*Aceptable
PosicionamientoCollaborative SQL, Python, no-code, and AI analytics in one data workspace.Analyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Plan gratuito
ImplementaciónNube / SaaSNube / SaaS
Mejor encajeStartup, PYME, Mediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • CommunityFree
  • Professional$36
  • Team$75
  • EnterpriseCustom pricing
  • StudioFree
  • BusinessCustom pricing
  • EnterpriseCustom pricing
Embedded analyticsAvailable as an Enterprise add-on.
Semantic layer / data modelingSupports dbt MetricFlow, Cube, and Snowflake semantic model sync.
SQL notebooks
Python and RParcialPython is first-class; R is supported through data workflows rather than as the core notebook runtime.
Interactive data apps
Scheduled runs and alertsAvailable on Team and Enterprise.
AI analyticsNotebook, Threads, and semantic-model agents vary by plan.
Git integration
Python and R notebooks
Interactive dashboards
Reusable datasets
Governed metricsSupports dbt Semantic Layer integration.
Custom data apps
Advanced analytics
Role-based access controlEnterprise feature.
SQL editor
Integraciones verificadas28+
Valoración agregada4.5 · 383 reviews4.5 · 330 reviews
Integraciones
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksPostgreSQLClickHouse+9 más
SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 más
Seguridad y cumplimiento
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.
Contras
  • 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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