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Looker (Google Cloud) logo

Mejores Alternativas a Looker (Google Cloud) en 2026

9 alternativas analizadas y comparadas

¿Buscas alternativas a:

Looker (Google Cloud)

Google Cloud BI platform using LookML modeling language for governed analytics with consistent metric definitions across teams.

¿Por qué buscar alternativas a Looker (Google Cloud)?

Looker (Google Cloud) le funciona bien a muchos equipos. Aun así, hay motivos habituales por los que la gente empieza a mirar otras opciones:

  • Precioqueréis una opción más económica o un modelo de precios distinto
  • Funciones que faltannecesitáis algo que Looker (Google Cloud) no resuelve bien
  • Facilidad de usoqueréis una herramienta más sencilla de configurar y usar a diario
  • Escalase os ha quedado pequeña, o es demasiado pesada para el tamaño de vuestro equipo
  • Integracionesnecesitáis que encaje mejor con el resto de vuestras herramientas

Comparativa de las mejores alternativas

SoftwareValoraciónPrecio inicialIdeal paraAcciones
Microsoft Power BI logo

Microsoft Power BI

Microsoft analytics service for interactive dashboards and reports that integrates deeply with Excel, Azure, and the Microsoft 365 ecosystem.

8.5
GratisMicrosoft-centric organizations already using Microsoft 365 and Azure
Tableau logo

Tableau

Visual analytics platform for building interactive dashboards and exploring data through drag-and-drop without writing code.

8.8
15 US$/mesData analysts and teams that need advanced, publication-quality visualizations
Metabase logo

Metabase

Open-source BI tool that lets anyone ask questions and build dashboards from databases without knowing SQL.

8.3
GratisStartups and small teams that need free, fast-to-deploy BI
Qlik Sense logo

Qlik Sense

AI-powered BI platform with an associative analytics engine that lets users explore data connections without predefined queries.

8.1
30 US$/mesAnalysts who need to explore and discover unexpected patterns in complex datasets
Domo logo

Domo

Cloud-native BI platform built for business users with 1,000+ pre-built connectors and drag-and-drop dashboard creation.

7.8
Precio a consultarMid-market companies wanting a single all-in-one BI platform without building a data stack
ThoughtSpot logo

ThoughtSpot

Search-driven analytics platform where business users type questions in plain English and get instant charts and answers.

8.0
Precio a consultarOrganizations wanting to democratize data access for non-technical employees
Sisense logo

Sisense

Embedded analytics platform that lets companies build BI features directly into their own products and applications.

7.9
Precio a consultarSaaS companies building customer-facing analytics into their products
Mode Analytics logo

Mode Analytics

Collaborative analytics platform combining SQL, Python, R notebooks with visual dashboards for data teams.

7.7
GratisData teams that work primarily in SQL and Python and want dashboards from the same tool
Yellowfin BI logo

Yellowfin BI

Embedded analytics and BI platform with automated insights, storytelling features, and flexible deployment options.

7.5
Precio a consultarISVs and SaaS companies looking for affordable embedded analytics

Análisis detallados

#1
Microsoft Power BI logo

Microsoft Power BI

8.5(22,000 reviews)

Microsoft analytics service for interactive dashboards and reports that integrates deeply with Excel, Azure, and the Microsoft 365 ecosystem.

Ideal para:

Microsoft-centric organizations already using Microsoft 365 and AzureTeams that need affordable BI without sacrificing core functionalityExcel power users transitioning to proper BI tools

¿Por qué elegir Microsoft Power BI en lugar de Looker (Google Cloud)?

Microsoft Power BI tiene un plan gratuito realmente útil y destaca en Microsoft-centric organizations already using Microsoft 365 and Azure.

#2
Tableau logo

Tableau

8.8(18,500 reviews)

Visual analytics platform for building interactive dashboards and exploring data through drag-and-drop without writing code.

Ideal para:

Data analysts and teams that need advanced, publication-quality visualizationsOrganizations handling complex multi-source data blendingSalesforce customers wanting native CRM analytics

¿Por qué elegir Tableau en lugar de Looker (Google Cloud)?

Tableau tiene un precio competitivo y destaca en Data analysts and teams that need advanced, publication-quality visualizations.

#3
Metabase logo

Metabase

8.3(3,600 reviews)

Open-source BI tool that lets anyone ask questions and build dashboards from databases without knowing SQL.

Ideal para:

Startups and small teams that need free, fast-to-deploy BIEngineering teams wanting to give non-technical colleagues self-service data accessCompanies embedding simple dashboards in their own products

¿Por qué elegir Metabase en lugar de Looker (Google Cloud)?

Metabase tiene un plan gratuito realmente útil y destaca en Startups and small teams that need free, fast-to-deploy BI.

#4
Qlik Sense logo

Qlik Sense

8.1(5,400 reviews)

AI-powered BI platform with an associative analytics engine that lets users explore data connections without predefined queries.

Ideal para:

Analysts who need to explore and discover unexpected patterns in complex datasetsRegulated industries (finance, healthcare) that need on-premise or hybrid deploymentOrganizations with large in-memory datasets requiring sub-second query response

¿Por qué elegir Qlik Sense en lugar de Looker (Google Cloud)?

Qlik Sense tiene un precio competitivo y destaca en Analysts who need to explore and discover unexpected patterns in complex datasets.

#5
Domo logo

Domo

7.8(3,200 reviews)

Cloud-native BI platform built for business users with 1,000+ pre-built connectors and drag-and-drop dashboard creation.

Ideal para:

Mid-market companies wanting a single all-in-one BI platform without building a data stackBusiness users and executives who need self-service dashboards without SQL knowledgeOrganizations connecting 50+ data sources that want pre-built connectors

¿Por qué elegir Domo en lugar de Looker (Google Cloud)?

Domo tiene un precio competitivo y destaca en Mid-market companies wanting a single all-in-one BI platform without building a data stack.

¿Aún lo estáis decidiendo?

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