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Amplitude vs. Hex

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

Comparación completa

Amplitudedesde Custom pricing
Hexdesde Free
Audyense Score54AS*Bajo70ASSólido
PosicionamientoAdvanced product analytics platformCollaborative SQL, Python, no-code, and AI analytics in one data workspace.
Plan gratuitoSíSí
ImplementaciónNube / SaaSNube / SaaS
Mejor encajePYME, Mediana empresa, EmpresaStartup, PYME, Mediana empresa, Empresa
Planes de precio
  • FreeFree
  • PlusCustom pricing
  • GrowthCustom pricing
  • EnterpriseCustom pricing
  • CommunityFree
  • Professional$36
  • Team$75
  • EnterpriseCustom pricing
Product analyticsSí—
Session replaySí—
ExperimentationSí—
Guides and surveysSí—
SSOSíGrowth plan and above—
Embedded analytics—SíAvailable as an Enterprise add-on.
Semantic layer / data modeling—SíSupports dbt MetricFlow, Cube, and Snowflake semantic model sync.
SQL notebooks—Sí
Python and R—ParcialPython is first-class; R is supported through data workflows rather than as the core notebook runtime.
Interactive data apps—Sí
Scheduled runs and alerts—SíAvailable on Team and Enterprise.
AI analytics—SíNotebook, Threads, and semantic-model agents vary by plan.
Git integration—Sí
Integraciones verificadas—28+
Valoración agregada4.6 · 3.8k reviews4.5 · 383 reviews
Integraciones—
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksPostgreSQLClickHouse+9 más
Seguridad y cumplimiento—
SOC 2 Type IIHIPAA
Pros
  • Advanced analytics
  • AI-powered insights
  • Enterprise support
  • 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.
Contras
  • Steep learning curve
  • MTU pricing complexity
  • 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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