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Hex vs. Microsoft Power BI

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

Hex parte de Free por usuario, frente a Microsoft Power BI con Free. Microsoft Power BI tiene la valoración agregada más alta (4.6/5 frente a 4.5/5). Microsoft Power BI lista más integraciones (100+ frente a 28+).

Comparación completa

Hexdesde Free
Microsoft Power BIdesde Free
Audyense Score70ASSólido85ASExcelente
PosicionamientoCollaborative SQL, Python, no-code, and AI analytics in one data workspace.Microsoft's cloud BI platform for self-service dashboards, reports, and governed analytics
Plan gratuitoSíSí
ImplementaciónNube / SaaSNube / SaaS, Instalación local, Híbrido
Mejor encajeStartup, PYME, Mediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • CommunityFree
  • Professional$36
  • Team$75
  • EnterpriseCustom pricing
  • FreeFree
  • Power BI Pro$14
  • Power BI Premium Per User$24
  • Power BI Embedded / Fabric capacityCustom pricing
Embedded analyticsSíAvailable as an Enterprise add-on.SíPower BI Embedded plus REST embed-token APIs; priced separately as capacity, not included in per-user plans.
Semantic layer / data modelingSíSupports dbt MetricFlow, Cube, and Snowflake semantic model sync.SíShared semantic models with relationships, DAX measures, composite models, and row-level security reused across reports.
SQL notebooksSí—
Python and RParcialPython is first-class; R is supported through data workflows rather than as the core notebook runtime.—
Interactive data appsSí—
Scheduled runs and alertsSíAvailable on Team and Enterprise.—
AI analyticsSíNotebook, Threads, and semantic-model agents vary by plan.—
Git integrationSí—
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.
Self-service BI—SíPower BI Desktop provides drag-and-drop report building with Power Query Editor for data prep and DAX for modeling.
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.
Integraciones verificadas28+100+
Valoración agregada4.5 · 383 reviews4.6 · 1.9k reviews
Integraciones
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksPostgreSQLClickHouse+9 más
Microsoft ExcelSharePointMicrosoft TeamsAzure SQL DatabaseAzure Synapse AnalyticsAzure Databricks+14 más
Seguridad y cumplimiento
SOC 2 Type IIHIPAA
SOC 1 Type IISOC 2 Type IIISO/IEC 27001ISO/IEC 27018+3 más
Pros
  • SQL, Python, no-code, AI, and app-building workflows in one environment.
  • Fast path from ad hoc analysis to shareable reports and interactive apps.
  • Strong collaboration features including multiplayer, comments, versioning, and shared components.
  • Connects to warehouses, cloud storage, orchestration tools, and semantic models.
  • 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.
Contras
  • Advanced compute, AI agents, and usage credits can complicate the cost model.
  • Visualization depth is not always a match for dedicated dashboarding products.
  • Most meaningful governance and security controls are reserved for Team or Enterprise.
  • Cloud-first deployment may not fit teams that require full self-hosting.
  • 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.
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