10 alternativas a Power BI seleccionadas para 2026

Adobe Customer Journey Analytics (CJA) is a specialized analytics platform that unifies datasets from web, mobile, and offline sources into one interface. It gives enterprise teams a way to unify and analyze customer interactions across every channel. If you need deeper journey insights and flexible data modeling than what you get with Power BI, this platform is built for you.

Who Is Adobe Customer Journey Analytics Best For?

Enterprise analytics teams in retail, finance, or travel who need to unify and analyze customer journeys across multiple digital and offline channels.

Why Adobe Customer Journey Analytics Is a Good Power BI alternative

I picked Adobe Customer Journey Analytics because it lets my team map and analyze customer journeys across every channel, not just digital touchpoints. With its omnichannel data stitching, I can see how users move from web to in-store to call center in a single view. I appreciate the way it visualizes complex, multi-step journeys that Power BI can’t natively handle. This gives us a much clearer picture of customer behavior across our entire business.

Adobe Customer Journey Analytics Key Features

• Identity stitching: Automatically merges various IDs, like cookies and email addresses, into a single person-centric profile.
• Analysis Workspace: A flexible workspace for building fallout and flow reports using drag-and-drop actions instead of SQL.
• Retroactive data processing: Lets you change data definitions or fix tracking errors without having to re-ingest or refresh the original dataset.
• Intelligent captions: Uses AI to write plain-text summaries of trends and anomalies to help non-technical users understand their data.

Adobe Customer Journey Analytics Integrations

Adobe Customer Journey Analytics offers native integrations across the Adobe Experience Cloud ecosystem, including Adobe Analytics, Adobe Audience Manager, and Adobe Target. It also provides an API for custom integrations and supports connections to external data sources through Adobe Experience Platform.

Tableau stands out for teams that need highly interactive and visual data exploration. It’s a strong fit for analysts and business users who want to dig into complex datasets and uncover insights through intuitive drag-and-drop dashboards. If your organization values flexible, visual storytelling with data, Tableau offers a different approach than Power BI’s more structured reporting style.

Why Tableau Is a Good Power BI Alternative

Tableau’s strength in interactive visual exploration makes it a top choice for teams that want to go beyond static dashboards. I picked Tableau for its ability to let users drill down into data, filter on the fly, and build custom visualizations with simple drag-and-drop actions. The platform’s VizQL engine translates user actions into queries, so you can instantly see changes reflected in your charts and graphs. This level of interactivity helps you uncover trends and outliers that might be missed with more rigid reporting tools like Power BI.

Tableau Key Features

Some other features in Tableau that may interest your team include:

• Data Prep with Tableau Prep: Prepare, clean, and shape your data visually before analysis using Tableau Prep’s dedicated interface.
• Live and In-Memory Data Connections: Connect to data in real time or use in-memory extracts for faster performance, depending on your needs.
• Collaboration and Sharing: Share dashboards securely with colleagues or stakeholders through Tableau Server or Tableau Cloud.
• Mobile-Optimized Dashboards: Design dashboards that automatically adjust for mobile devices, making insights accessible on the go.

Tableau Integrations

Integrations include Salesforce CRM, Google Analytics, Amazon Redshift, Snowflake, Microsoft SQL Server, Oracle, SAP HANA, Google BigQuery, Dropbox, and ServiceNow.

If your team needs to deliver highly customized analytics within your own products or portals, Looker is built for embedded analytics flexibility. It appeals to SaaS providers, product managers, and data teams who want to control the look, feel, and interactivity of analytics for end users. Unlike Power BI, Looker’s modeling layer and API-driven approach let you tailor data experiences and integrate analytics directly into your workflows.

Why Looker Is a Good Power BI Alternative

Looker stands out for teams that need to embed analytics directly into their own products or customer-facing portals. I picked Looker because its semantic modeling layer (LookML) lets you define and reuse business logic, making it easier to maintain consistent analytics across different environments. 

API and developer tools allow you to customize dashboards, visualizations, and user experiences far beyond what Power BI typically offers for embedded use cases. This makes Looker a strong choice if you want to deliver tailored analytics that match your brand and workflow requirements.

Looker Key Features

Some other features in Looker that may be valuable for your team include:

• Scheduled Reporting: Automate report delivery to users or groups on a set schedule.
• Data Exploration Interface: Users can drill down, filter, and pivot data directly within dashboards.
• Row-Level Security: Control data access at a granular level for different users or groups.
• Version Control Integration: Manage LookML models and analytics assets using Git-based version control.

Looker Integrations

Integrations include BigQuery, Snowflake, Redshift, Databricks, Microsoft SQL Server, PostgreSQL, MySQL, Oracle, Google Sheets, and Salesforce.

Domo is built for teams that need to share live dashboards and data updates across departments or locations. It’s especially useful for operations leaders, analysts, and executives who rely on up-to-the-minute insights to make fast decisions. Unlike Power BI, Domo emphasizes real-time data sharing and collaboration, so everyone stays aligned as soon as new information becomes available.

Why Domo Is a Good Power BI Alternative

If your team needs to share dashboards and data in real time, Domo is built for that exact purpose. I picked Domo because it lets you publish live dashboards that update instantly as new data flows in, so everyone sees the same numbers at the same time.

Domo also offers interactive sharing features, including customizable alerts and mobile access, which help keep distributed teams connected to the latest insights. This focus on real-time collaboration makes Domo a strong alternative to Power BI for organizations that can’t afford to wait for scheduled refreshes.

Domo Key Features

Some other features in Domo that may be valuable for your team include:

• App Creation Toolkit: Build custom data apps using drag-and-drop tools and prebuilt templates.
• Data Transformation (Magic ETL): Cleanse, join, and transform data visually without writing code.
• Data Governance Controls: Set detailed permissions and monitor data usage across your organization.
• Prebuilt Data Connectors: Connect to hundreds of data sources, including cloud apps, databases, and spreadsheets.

Domo Integrations

Integrations include Salesforce, Google Analytics, Facebook Ads, Twitter, Instagram, Shopify, HubSpot, Marketo, LinkedIn, and Microsoft Dynamics.

For teams handling data from many sources and formats, Sisense offers advanced capabilities for complex data integration. It’s a strong fit for data engineers, analytics leaders, and IT teams who need to blend, transform, and analyze large or disparate datasets. Unlike Power BI, Sisense’s in-chip technology and flexible data modeling help you unify and query data across cloud, on-premises, and hybrid environments without heavy pre-processing.

Why Sisense Is a Good Power BI Alternative

If your business needs to bring together data from a wide range of sources, Sisense is built for complex data integration scenarios. I picked Sisense because its Elasticube technology lets you blend and model data from cloud, on-premises, and hybrid environments without heavy data prep. 

In-chip analytics engine processes large datasets quickly, supporting real-time analysis even when data is highly fragmented. This makes Sisense a strong choice for organizations that need to unify and analyze data from multiple, often incompatible, systems.

Sisense Key Features

Some other features in Sisense that may be useful for your team include:

• White-Labeling: Customize dashboards and analytics with your own branding and design elements.
• AI-Driven Insights: Use built-in AI features to surface trends and anomalies in your data automatically.
• Drag-and-Drop Dashboard Builder: Create interactive dashboards without writing code.
• Role-Based Access Controls: Set granular permissions for users and groups to manage data visibility and actions.

Sisense Integrations

Integrations include Snowflake, Amazon Redshift, Google BigQuery, Databricks, Azure Synapse, MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and Salesforce.

For organizations that need to connect analytics with enterprise planning, SAP Analytics Cloud offers a unified approach. Large enterprises and finance teams often choose it to align forecasting, budgeting, and reporting in one platform. Unlike Power BI, SAP Analytics Cloud brings planning, predictive analytics, and business intelligence together for end-to-end decision support.

Why SAP Analytics Cloud Is a Good Power BI Alternative

What sets SAP Analytics Cloud apart is its deep integration of analytics and enterprise planning in a single platform. I picked it for teams that need to connect financial planning, forecasting, and reporting without switching between multiple tools. The platform’s built-in planning workflows and predictive analytics help organizations align strategy and execution across departments. This makes SAP Analytics Cloud a strong choice for enterprises that want to unify business intelligence and planning in one environment.

SAP Analytics Cloud Key Features

Some other features in SAP Analytics Cloud that may be useful for your team include:

• Smart Insights: Automatically generate explanations for data trends and outliers.
• Live Data Connectivity: Connect directly to SAP and non-SAP data sources without data replication.
• Collaboration Tools: Comment, share, and assign tasks within reports and dashboards.
• Mobile Access: View and interact with dashboards on iOS and Android devices.

SAP Analytics Cloud Integrations

Integrations include SAP HANA, SAP S/4HANA, SAP BW/4HANA, SAP BusinessObjects solutions, SAP Business Planning and Consolidation, OData, and Google BigQuery.

If you’re looking for a business intelligence platform with advanced AI-driven analytics, IBM Cognos Analytics is worth considering. It’s designed for organizations that want to uncover deeper insights from their data using automated data preparation and natural language querying. Unlike Power BI, IBM Cognos Analytics emphasizes AI-powered data discovery and guided analysis for users across business functions.

Why IBM Cognos Analytics Is a Good Power BI Alternative

IBM Cognos Analytics stands out for its AI-powered data insights, which go beyond what you’ll find in most business intelligence platforms. I picked it for teams that want automated data preparation and natural language querying to help users at any skill level uncover trends and patterns. 

The platform’s AI Assistant can generate visualizations and suggest insights based on your questions, making data exploration more accessible. This focus on embedded AI and guided analysis makes IBM Cognos Analytics a strong alternative to Power BI for organizations that want to leverage advanced analytics without heavy manual effort.

IBM Cognos Analytics Key Features

Some other features in IBM Cognos Analytics that may be valuable for your team include:

• Data Modeling Tools: Build and manage data models directly within the platform.
• Custom Dashboard Creation: Design interactive dashboards with drag-and-drop components.
• Scheduled Reporting: Automate report generation and delivery on a set schedule.
• Geospatial Analytics: Visualize and analyze data using integrated mapping tools.

IBM Cognos Analytics Integrations

Integrations include IBM Planning Analytics, IBM SPSS Statistics, IBM watsonx, Microsoft Fabric, SAP BW/4HANA, Amazon Web Services, Microsoft Azure, Google Cloud Platform, and Slack.

If your team needs to deliver highly customized analytics within your own products or portals, Looker is built for embedded analytics flexibility. It appeals to SaaS providers, product managers, and data teams who want to control the look, feel, and interactivity of analytics for end users. Unlike Power BI, Looker’s modeling layer and API-driven approach let you tailor data experiences and integrate analytics directly into your workflows.

Why Looker Is a Good Power BI Alternative

Looker stands out for teams that need to embed analytics directly into their own products or customer-facing portals. I picked Looker because its semantic modeling layer (LookML) lets you define and reuse business logic, making it easier to maintain consistent analytics across different environments. 

API and developer tools allow you to customize dashboards, visualizations, and user experiences far beyond what Power BI typically offers for embedded use cases. This makes Looker a strong choice if you want to deliver tailored analytics that match your brand and workflow requirements.

Looker Key Features

Some other features in Looker that may be valuable for your team include:

• Scheduled Reporting: Automate report delivery to users or groups on a set schedule.
• Data Exploration Interface: Users can drill down, filter, and pivot data directly within dashboards.
• Row-Level Security: Control data access at a granular level for different users or groups.
• Version Control Integration: Manage LookML models and analytics assets using Git-based version control.

Looker Integrations

Integrations include BigQuery, Snowflake, Redshift, Databricks, Microsoft SQL Server, PostgreSQL, MySQL, Oracle, Google Sheets, and Salesforce.

Qlik Sense is designed for teams that need to explore complex, interconnected data from multiple sources. Its associative data modeling engine lets users freely navigate relationships in their data, making it easier to spot hidden patterns and connections. If your business relies on flexible, in-depth analysis across diverse datasets, Qlik Sense offers a unique approach compared to Power BI’s more linear data exploration.

Why Qlik Sense Is a Good Power BI Alternative

What sets Qlik Sense apart is its associative data modeling, which lets you explore data relationships without being limited to predefined hierarchies. I picked Qlik Sense because its engine allows users to click on any data point and instantly see related and unrelated data, making it easier to uncover insights that might be missed in more linear tools like Power BI. 

The platform’s interactive selection and filtering features help you follow your own analysis path, rather than sticking to a set drill-down structure. This approach is especially valuable for teams that need to analyze complex, multi-source data and want the freedom to investigate connections as they go.

Qlik Sense Key Features

Some other features in Qlik Sense that may be useful for your team include:

• Self-Service Data Visualization: Users can create and customize their own dashboards and reports without IT support.
• Augmented Analytics: Built-in AI and machine learning capabilities assist with data insights and suggestions.
• Multi-Cloud Deployment: Deploy Qlik Sense on-premises, in a private cloud, or through Qlik Cloud for flexible infrastructure options.
• Data Alerts: Set up automated alerts to notify users when data meets specific conditions or thresholds.

Qlik Sense Integrations

Integrations include Amazon Web Services, Google Cloud, Microsoft Azure, Snowflake, SAP, Databricks, Cloudera, Salesforce, Oracle, and Dropbox.

Open-source flexibility makes Metabase a strong fit for teams that want full control over their analytics environment. Data engineers, IT teams, and organizations with strict data privacy needs often choose it for its self-hosting options and transparent codebase. Unlike Power BI, Metabase lets you deploy on your own infrastructure and customize the platform to match your security and compliance requirements.

Why Metabase Is a Good Power BI Alternative

If you need a business intelligence platform that supports open-source deployment, Metabase is worth considering. I picked it because you can self-host the platform, giving your team full control over data storage, access, and security. Metabase’s open-source codebase also allows for custom modifications, so you can tailor the platform to your organization’s unique requirements. This flexibility is especially valuable for businesses with strict compliance or privacy standards that can’t be met by cloud-only solutions like Power BI.

Metabase Key Features

Some other features in Metabase that may be useful for your team include:

• No-Code Query Builder: Create custom queries and visualizations without writing SQL.
• Automated Dashboard Subscriptions: Schedule dashboards to be sent to users by email or Slack.
• Interactive Data Filtering: Add filters to dashboards so viewers can explore data by segment or timeframe.
• Audit Logging: Track user activity and changes within the platform for compliance and oversight.

Metabase Integrations

Integrations include Amazon Athena, Amazon Redshift, BigQuery, ClickHouse, Databricks, Druid, Google Sheets, MariaDB, Microsoft SQL Server, and MongoDB.