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FullStory 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

Mode parte de Free por usuario, frente a FullStory con Custom pricing. Mode tiene la valoración agregada más alta (4.5/5 frente a 4.4/5).

Comparación completa

FullStorydesde Custom pricing
Modedesde Free
Audyense Score51AS*Bajo56AS*Aceptable
PosicionamientoDigital experience analytics and session replayAnalyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Plan gratuitoSíSí
ImplementaciónNube / SaaSNube / SaaS
Mejor encajePYME, Mediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • FreeFree
  • BusinessCustom pricing
  • AdvancedCustom pricing
  • EnterpriseCustom pricing
  • StudioFree
  • BusinessCustom pricing
  • EnterpriseCustom pricing
Session replaySí—
HeatmapsSí—
SAML SSOSí—
AES-256 encryptionSí—
Python and R notebooks—Sí
Interactive dashboards—Sí
Reusable datasets—Sí
Governed metrics—SíSupports dbt Semantic Layer integration.
Custom data apps—Sí
Advanced analytics—Sí
Role-based access control—SíEnterprise feature.
SQL editor—Sí
Integraciones verificadas——
Valoración agregada4.4 · 1.0k reviews4.5 · 330 reviews
Integraciones—
SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 más
Seguridad y cumplimiento——
Pros
  • Unified setup
  • Comprehensive replay
  • Deep analytics
  • 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
  • Pricing based on sessions
  • Learning curve
  • 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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