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Explo 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 Explo con Custom pricing. Explo tiene la valoración agregada más alta (4.9/5 frente a 4.5/5).

Comparación completa

Explodesde Custom pricing
Modedesde Free
Audyense Score57AS*Aceptable56AS*Aceptable
PosicionamientoCustomer-facing analytics for any platformAnalyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Plan gratuitoNoSí
ImplementaciónNube / SaaSNube / SaaS
Mejor encajePYME, Mediana empresaPYME, Mediana empresa, Empresa
Planes de precio
    —
  • StudioFree
  • BusinessCustom pricing
  • EnterpriseCustom pricing
Embedded dashboardsSí—
White-label stylingSí—
AI report builderSí—
Direct database/warehouse connectionsSí—
Dedicated/region-specific hostingSí—
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 agregada4.9 · 138 reviews4.5 · 330 reviews
Integraciones—
SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 más
Seguridad y cumplimiento
SOC 2 Type IIHIPAA
—
Pros
  • Makes analytics simple, customizable, and scalable without slowing down dev teams
  • Fast deployment for embedding dashboards
  • Flexible feature set for securely sharing data with customers
  • 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—
  • 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.
Visitar Explo ↗Visitar Mode ↗