Registro lado a lado

Microsoft Power BI 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

Microsoft Power BI parte de Free por usuario, frente a Mode con Free. Microsoft Power BI tiene la valoración agregada más alta (4.6/5 frente a 4.5/5).

Comparación completa

	Microsoft Power BIdesde Free	Modedesde Free
Audyense Score	85ASExcelente	56AS*Aceptable
Posicionamiento	Microsoft's cloud BI platform for self-service dashboards, reports, and governed analytics	Analyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Plan gratuito	Sí	Sí
Implementación	Nube / SaaS, Instalación local, Híbrido	Nube / SaaS
Mejor encaje	PYME, Mediana empresa, Empresa	PYME, Mediana empresa, Empresa
Planes de precio	FreeFree Power BI Pro$14 Power BI Premium Per User$24 Power BI Embedded / Fabric capacityCustom pricing	StudioFree BusinessCustom pricing EnterpriseCustom pricing
AI features	SíCopilot AI assistant for insights and report creation is listed for both Power BI and Fabric, alongside Q&A.	—
Public API	SíDocumented Power BI REST API covering datasets, reports, dashboards, dataflows, gateways, pipelines, embed tokens, and admin.	—
Mobile app	SíPower BI Mobile apps for phones and tablets with reports optimized for mobile layouts.	—
Data governance & lineage	SíRow-level security, sensitivity labels, audit logs, usage metrics, and Microsoft Purview Information Protection and DLP integration.	—
Dashboards & visualization	SíReal-time dashboards and streaming tiles in the Power BI service, plus 30+ built-in visuals and a custom visuals marketplace.	—
Embedded analytics	SíPower BI Embedded plus REST embed-token APIs; priced separately as capacity, not included in per-user plans.	—
Self-service BI	SíPower BI Desktop provides drag-and-drop report building with Power Query Editor for data prep and DAX for modeling.	—
Semantic layer / data modeling	SíShared semantic models with relationships, DAX measures, composite models, and row-level security reused across reports.	—
Alerts & notifications	SíDashboard data alerts and email subscriptions; Data Activator adds real-time alerting and automation. Some distribution scenarios require capacity licensing.	—
Natural language query	SíQ&A natural-language querying is listed by Microsoft as a Power BI-specific capability.	—
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	100+	—
Valoración agregada	4.6 · 1.9k reviews	4.5 · 330 reviews
Integraciones	Microsoft ExcelSharePointMicrosoft TeamsAzure SQL DatabaseAzure Synapse AnalyticsAzure Databricks+14 más	SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 más
Seguridad y cumplimiento	SOC 1 Type IISOC 2 Type IIISO/IEC 27001ISO/IEC 27018+3 más	—
Pros	Deepest integration of any BI tool with the Microsoft stack — Excel, Microsoft 365, Teams, SharePoint, Dynamics 365, and Azure — which is the single most cited reason Microsoft-centric orgs pick it. Very broad connector library (100+ data sources through Power Query), noticeably wider than competitors, with front-end visualization depth called out as an advantage over Looker. Strong, flexible visualization and dashboarding layer with a large custom-visuals marketplace, rated ~96% positive on Capterra for interactive/customizable dashboards. Market dominance translates into a large talent pool and abundant training, and it is the common migration target from Qlik, BusinessObjects, and MicroStrategy.	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	Performance degrades on large or complex semantic models — the most common complaint on Capterra (~76% negative on 'resource-intensive with large datasets'), and echoed in community threads about slow DAX and rendering. Licensing is genuinely confusing: Pro vs. Premium Per User vs. Fabric capacity, and capabilities like external-email subscriptions and data-driven distribution get gated behind capacity SKUs, which regularly produces mis-sized purchases. Report-authoring UX has rough edges practitioners raise repeatedly — formatting menus that differ per visual type, DAX errors that only surface after saving, and no simple duplicate-measure action; Capterra shows ~40% negative on navigation being complex or unintuitive. Renaming measures or columns can break downstream visuals rather than resolving by a stable internal ID, which makes semantic-model refactoring risky. Report authoring is Windows-only — Power BI Desktop has no macOS or Linux build.	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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