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FullStory vs. Omni Analytics

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

FullStory parte de Custom pricing por usuario, frente a Omni Analytics con Custom pricing. Omni Analytics tiene la valoración agregada más alta (4.8/5 frente a 4.4/5).

Comparación completa

FullStorydesde Custom pricing
Omni Analyticsdesde Custom pricing
Audyense Score51AS*Bajo59ASAceptable
PosicionamientoDigital experience analytics and session replayGoverned BI and embedded analytics built around a shared semantic layer.
Plan gratuitoSíNo
ImplementaciónNube / SaaSNube / SaaS
Mejor encajePYME, Mediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • FreeFree
  • BusinessCustom pricing
  • AdvancedCustom pricing
  • EnterpriseCustom pricing
  • Free trialCustom pricing
  • BusinessCustom pricing
  • EmbeddedCustom pricing
  • EnterpriseCustom pricing
Session replaySí—
HeatmapsSí—
SAML SSOSíSí
AES-256 encryptionSí—
Embedded analytics—Sí
Semantic layer / data modeling—Sí
SQL editor—Sí
Spreadsheet formulas—Sí
AI analytics—Sí
Row and column permissions—Sí
No-code exploration—Sí
Integraciones verificadas—24+
Valoración agregada4.4 · 1.0k reviews4.8 · 64 reviews
Integraciones—
SnowflakeDatabricksAmazon RedshiftGoogle BigQueryPostgreSQLMySQL+9 más
Seguridad y cumplimiento—
SOC 2 Type IIHIPAAGDPRCCPA
Pros
  • Unified setup
  • Comprehensive replay
  • Deep analytics
  • Shared semantic model keeps business metrics consistent across workbooks and embeds.
  • Supports SQL, spreadsheet formulas, point-and-click exploration, and AI workflows.
  • Strong embedded analytics story with white-labeling and customizable experiences.
  • Detailed security controls including SAML, row/column permissions, and encrypted connections.
Contras
  • Pricing based on sessions
  • Learning curve
  • Pricing is quote-led and can be challenging to model for large embedded audiences.
  • Advanced modeling and workbook organization take more time to learn.
  • Fast product iteration can mean documentation and UI rough edges for new capabilities.
  • Cloud-only delivery may not suit buyers requiring self-hosted analytics.
Visitar FullStory ↗Visitar Omni Analytics ↗