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Hex vs. Quantum Metric

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 Quantum Metric con Custom pricing. Quantum Metric tiene la valoración agregada más alta (4.6/5 frente a 4.5/5).

Comparación completa

Hexdesde Free
Quantum Metricdesde Custom pricing
Audyense Score70ASSólido42AS*Bajo
PosicionamientoCollaborative SQL, Python, no-code, and AI analytics in one data workspace.Digital experience analytics platform
Plan gratuitoSíNo
ImplementaciónNube / SaaSNube / SaaS
Mejor encajeStartup, PYME, Mediana empresa, EmpresaMediana empresa, Empresa
Planes de precio
  • CommunityFree
  • Professional$36
  • Team$75
  • EnterpriseCustom pricing
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Embedded analyticsSíAvailable as an Enterprise add-on.—
Semantic layer / data modelingSíSupports dbt MetricFlow, Cube, and Snowflake semantic model sync.—
SQL notebooksSí—
Python and RParcialPython is first-class; R is supported through data workflows rather than as the core notebook runtime.—
Interactive data appsSí—
Scheduled runs and alertsSíAvailable on Team and Enterprise.—
AI analyticsSíNotebook, Threads, and semantic-model agents vary by plan.—
Git integrationSí—
Session replay—Sí
Autocapture—Sí300+ metrics without manual tagging
Agentic AI insights (Felix AI)—Sí
Page performance monitoring—Sí
Mobile app analytics—Sí
Integraciones verificadas28+—
Valoración agregada4.5 · 383 reviews4.6 · 267 reviews
Integraciones
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksPostgreSQLClickHouse+9 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.
  • Enterprise features
  • AI-powered insights
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.
  • Enterprise pricing
  • Implementation complexity
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