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Mode 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

Mode parte de Free por usuario, frente a Omni Analytics con Custom pricing. Omni Analytics tiene la valoración agregada más alta (4.8/5 frente a 4.5/5).

Comparación completa

Modedesde Free
Omni Analyticsdesde Custom pricing
Audyense Score56AS*Aceptable59ASAceptable
PosicionamientoAnalyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.Governed 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
  • StudioFree
  • BusinessCustom pricing
  • EnterpriseCustom pricing
  • Free trialCustom pricing
  • BusinessCustom pricing
  • EmbeddedCustom pricing
  • EnterpriseCustom pricing
Python and R notebooksSí—
Interactive dashboardsSí—
Reusable datasetsSí—
Governed metricsSíSupports dbt Semantic Layer integration.—
Custom data appsSí—
Advanced analyticsSí—
Role-based access controlSíEnterprise feature.—
SQL editorSíSí
Embedded analytics—Sí
Semantic layer / data modeling—Sí
SAML SSO—Sí
Spreadsheet formulas—Sí
AI analytics—Sí
Row and column permissions—Sí
No-code exploration—Sí
Integraciones verificadas—24+
Valoración agregada4.5 · 330 reviews4.8 · 64 reviews
Integraciones
SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 más
SnowflakeDatabricksAmazon RedshiftGoogle BigQueryPostgreSQLMySQL+9 más
Seguridad y cumplimiento—
SOC 2 Type IIHIPAAGDPRCCPA
Pros
  • 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.
  • 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
  • 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.
  • 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 Mode ↗Visitar Omni Analytics ↗