10 Power BI Alternatives and Competitors in 2025

Business intelligence (BI) platforms are must-have tools for making smarter, more data-driven decisions. Microsoft Power BI is one of the top options in this space and is well-known for its powerful data visualization and analytics capabilities. First introduced in 2015, Power BI has become a go-to solution for turning raw data into actionable insights. Its deep integration with the Microsoft ecosystem has helped the platform build a strong following across multiple industries and businesses of all sizes. 

However, Power BI isn’t necessarily the perfect fit for every organization. Whether it’s due to particular business needs, budget constraints, or the need for more advanced capabilities, you may find yourself exploring other options for Power BI in 2025. 

To help you find the right solution, we’ve compiled a list of the 10 leading alternatives and their top features, along with common use cases to inform your search.

What is Power BI?

Power BI is a Microsoft business intelligence and analytics platform. It enables you to connect various disparate sources of data into one single source of truth. You can also create interactive dashboards and generate actionable insights. 

Microsoft Power BI is popular for its:

• User-friendly interface with an intuitive design that works for technical and non-technical users.
• Integration capabilities, which allow you to integrate Power BI with other Microsoft products such as Excel and Azure.
• Data visualization tools that help you analyze and present data in a rich, compelling way. 

Despite these advantages, Power BI has some limitations that may prompt you to explore alternatives if they impact your ability to get the most from the platform.

Why consider an alternative to Power BI?

Some of the top drivers for seeking out an alternative platform to Power BI include the need for more advanced capabilities and budget constraints. There are many alternatives that may better suit your needs and budget. Let’s take a closer look at some common reasons to try another data visualization platform. 

Improved decision-making with data-driven insights

Power BI excels in many areas, but its advanced analytics capabilities may not be enough for some users. This is especially true when it’s compared to platforms specifically designed to excel in areas such as machine learning or predictive analytics. These specialized platforms can help explore trends more deeply, make better forecasts, and use predictive insights that inform your strategies. Organizations that want to maximize the latest in data science often want to seek out and use these dedicated platforms for this purpose. 

Enhanced efficiency and productivity

Beyond AI-driven insights, another common driver for exploring alternatives to Power BI is usability. Power BI has a lot to offer in terms of functionality, but if you’re working with complex data models and multiple integrations, you may find the learning curve is steep. This can slow down or even reduce user adoption. 

Organizations that have less-technical users may prefer platforms with more intuitive interfaces. Or, you may want a platform with faster processing times to streamline workflows and increase productivity. Each of these reasons can be enough to prompt you to consider a Power BI competitor. 

Cost savings through data consolidation

Pricing is another consideration, especially for small to medium-sized businesses. Power BI’s premium features come at a cost. This can stretch budgets thin, prompting organizations to seek out alternatives that offer comparable functionality at a better price point. Plus, if you don’t need all the features Power BI has to offer, it may feel like you’re just paying for extras you can’t put to use. 

What to look for in a Power BI alternative

When looking for an alternative to Power BI, prioritize features that align with your organization’s specific goals. This will help you narrow down the many options available in the market (more on that below). While the individual needs will vary, the following features are worth exploring. 

1. Enterprise-grade security and compliance

Security and compliance should be non-negotiable. For industries such as finance, healthcare, and government, it is especially paramount to take steps and ensure that sensitive data is handled carefully. Look for a platform that meets regulatory standards such as GDPR, HIPAA, and SOC 2. Consider security measures such as data encryption, multi-factor authentication, and role-based access controls. These measures will help protect your organization from breaches and unauthorized access. 

Some platforms will have advanced governance tools, which allow you to manage data securely and meet compliance requirements. These enterprise-grade security and compliance features protect your data, organization, and reputation with clients. 

2. Scalability for growing business needs

Over time, your organization’s needs will grow and change. Your data and analytics requirements will change, as well. Make sure you select a data visualization tool that offers the ability to grow with your needs. Ideally, it will be able to easily accommodate larger data sets, more users, and more complex analytic needs. These are the most common elements to change as your organization grows. 

Shortlist platforms that have the infrastructure to support both on-premises and cloud-based deployment if that’s a consideration for your organization. Scalability is key to making sure your analytics investment stays relevant and efficient. 

3. Advanced analytics and integration capabilities

If you’re looking into Power BI alternatives and need more advanced analytics, focus on AI and machine learning features, predictive modeling, and natural language processing. 

Make sure the platform you select integrates with existing systems such as your CRM, ERP, and data warehouses to minimize any disruptions and ensure data flows smoothly. Some platforms have deep integrations and customizable analytics features that are useful for mining insights. 

4. User-friendly interface and accessibility

Ultimately, if you want to encourage adoption, make sure the platform has an intuitive interface. You’ll want features that simplify report creation, dashboard customization, and data visualization. That may look like drag-and-drop functionality, prebuilt templates, and guided tutorials. If you can reduce the learning curve, you’ll make the platform more accessible for technical and non-technical users.

5. Dedicated customer support and training

Regardless of how user-friendly the analytics tool you select may be, there will be an onboarding and learning period. Platforms that provide reliable customer support, detailed documentation, and comprehensive training resources can make a world of difference. 

Some common resources to look for include 24/7 live chat, a dedicated account manager, and an accessible knowledge base. These resources will help encourage adoption and reduce downtime during implementation.

6. Cost-effectiveness and value

Lastly, consider the total cost of ownership while evaluating your budget. Beyond the subscription fee, there may be hidden costs for additional users, premium features, or integrations. Select a platform that has your must-have features to avoid compromising the core functionality your team needs. 

The 10 best alternatives to Power BI in 2025

To help make your search for a Power BI alternative a bit easier, we’re sharing the top 10 alternatives below. Explore the key features to help you determine which ones are worth adding to your shortlist of potential BI platforms. 

1. Domo

Domo is a cloud-based BI platform that brings all your data into a single source of truth. Through a centralized location, you can monitor and analyze data in real time through highly visual, customizable dashboards. Domo’s scalability makes it a versatile option for small businesses and large enterprises. 

Key features of Domo:

• Prebuilt connectors for hundreds of data sources: Domo simplifies integration by supporting numerous prebuilt connectors. That way, you can easily import data from popular tools like Salesforce and Google Analytics, or from your own databases.
• Drag-and-drop dashboard creation: With an intuitive drag-and-drop interface, non-tech users can create customized dashboards. 
• Mobile-first design: Enjoy on-the-go analytics, as Domo is optimized for mobile devices. You can access and interact with data wherever you are. 
• Real-time data visualization: Domo’s BI platform continuously updates dashboards as new data flows in so you can dive into insights and make strategic decisions in record time. 
• Customizable alerts for key metrics: You can set up personalized alerts to track specific KPIs so you can make adjustments and changes as needed. 

2. Tableau

Tableau is well-known for its data visualization capabilities. It allows you to create rich, interactive dashboards and conduct in-depth analyses. The end-to-end analytics platform puts users first and is accessible to both tech and non-tech users. 

Key features of Tableau:

• Advanced visualization tools: Tableau offers a wide variety of charts, graphs, and maps. You can transform raw data into visually appealing insights.
• AI-driven analytics for predictive insights: The built-in AI capabilities provide forecasts and trend analysis, driving data-informed predictions.
• Integration with various data sources: Tableau connects to cloud-based and on-premise data sources (e.g., SQL databases, Google Cloud, and AWS).
• Active community for support and resources: Tableau has an extensive community with tutorials, templates, and a library of shared visualizations.
• Enterprise-level security and scalability: The platform is embedded with enterprise-grade security protocols and scalability to support growing data needs.

3. Qlik

As a BI platform, Qlik stands out for its associative data engine that empowers you to explore relationships and patterns in your data. This data can be explored in a non-linear way, revealing hidden connections and insights. 

Key features of Qlik:

• Associative data modeling for in-depth analysis: Qlik’s unique data engine allows you to freely navigate through data relationships.
• Augmented analytics powered by AI: The AI features in Qlik assist with trend identification by suggesting insights you may not have considered.
• Real-time data integration and transformation: Qlik ensures real-time access to data that you can transform and enrich as needed in real time. 
• Customizable, interactive dashboards: Create interactive dashboards that are highly tailored to your business needs with drill-down capabilities for detailed views.
• Scalability for large data sets: Qlik handles large-scale data efficiently, making it a good choice for managing complex data sets.

4. Looker

Looker is part of Google Cloud. Its focus is on simplifying data exploration and fostering collaboration.You can build custom workflows and embed analytics into your operations.

Key features of Looker:

• SQL-based data modeling for custom queries: Looker’s LookML lets you define data relationships in SQL to create customized and reusable data models.
• Embedded analytics for easy integration: Businesses can integrate Looker’s analytics into websites, portals, or apps.
• Collaboration tools for team-driven insights: Features like shared dashboards and scheduled reports help ensure collaboration during decision-making.
• Comprehensive API for customization: Looker’s API allows developers to build custom applications and integrations tailored to unique workflows.

5. Sisense

Sisense provides an end-to-end BI platform. It combines data preparation, analytics, and visualization and offers enough flexibility to be suitable for developers and business users.

Key features of Sisense:

• In-chip technology for faster data processing: Sisense uses in-chip processing to accelerate analytics. This makes it possible to enable faster insights from large data sets.
• Embedded analytics for custom applications: Sisense’s flexible architecture allows businesses to embed analytics into their existing applications for personalized user experiences.
• Drag-and-drop tools for non-technical users: The intuitive interface makes it easy to create reports and dashboards (without coding expertise).
• Scalable architecture for large data sets: Its infrastructure supports large-scale data environments.
• Comprehensive API for integration: Sisense provides developers with APIs to integrate analytics into external platforms and workflows.

6. Klipfolio

Klipfolio is a cloud-based BI tool designed for small and medium-sized businesses. It is known for its simplicity, affordability, and real-time analytics.

Key features of Klipfolio:

• Prebuilt templates: Users can get set up quickly with pre-designed templates for common use cases like marketing, sales, and finance.
• Integration with popular tools: Klipfolio connects with a wide range of platforms, such as Slack, QuickBooks, and Google Analytics, for consolidated reporting.
• Real-time data updates: Dashboards automatically refresh with the latest data, so you always have current insights.
• Customizable dashboards: Users can tailor dashboards to display the most important metrics for their needs. 
• Cloud-based architecture: Klipfolio’s web-based platform allows for accessibility from anywhere (without the need for complex installations).

7. Databox

Databox is a BI platform designed to simplify reporting and real-time data tracking. It is focused on integration with marketing and sales platforms, making it a popular choice for these departments.

Key features of Databox:

• Prebuilt integrations with marketing and sales platforms: Databox offers connectivity with common sales and marketing tools like HubSpot, Google Ads, and Facebook Ads.
• Drag-and-drop interface for creating dashboards: You can build custom dashboards without needing advanced technical skills.
• Mobile-friendly design: The platform is optimized for mobile devices, so you can monitor data and receive updates on the go.
• Automated alerts for key metrics: You can set up alerts for specific KPIs to stay informed.
• Easy-to-share visual reports: Databox simplifies sharing insights with stakeholders through links and scheduled email reports.

8. SAP Data Intelligence Cloud

SAP Data Intelligence Cloud is a comprehensive enterprise-grade solution for integrating, orchestrating, and analyzing data across diverse environments.

Key features of SAP:

• Seamless integration with SAP’s ecosystem: The platform works well with SAP applications, streamlining workflows for businesses already using SAP solutions.
• Data orchestration for hybrid and multi-cloud environments: SAP enables users to connect and manage data from various sources (including on-premise and cloud systems).
• Machine learning and AI capabilities: You can use built-in AI tools for predictive analytics and automation.
• Advanced governance and compliance tools: The platform supports regulatory compliance and provides data governance features.
• Scalable architecture for large enterprises: It handles complex data landscapes well.

9. Mode

Mode is built for data scientists and analysts with tools for advanced analytics and collaboration. It is often selected by technical teams that want to explore data deeply as it combines SQL, R, Python, and visual analytics.

Key features of Mode:

• Built-in SQL editor for data querying: Mode provides a powerful SQL interface for writing and executing queries efficiently.
• Python and R integrations for advanced analytics: Analysts can use Python and R directly within Mode to perform statistical analyses and create machine learning models.
• Interactive data visualization tools: Mode’s visualization tools make it easy to present complex data insights effectively.
• Collaboration features for sharing insights: Teams can share reports and visualizations to encourage collaboration.
• Scalable cloud-based platform: Mode supports growing organizations by handling larger data sets and increasing user demands.

10. ThoughtSpot

ThoughtSpot simplifies analytics with its search-driven interface and personalized AI-powered insights. It is well-suited for non-technical users who want easy access to data.

Key features of ThoughtSpot:

• Natural language processing for data queries: Users can ask questions in conversational language and get instant answers from their data.
• AI-driven analytics for actionable insights: ThoughtSpot identifies trends, anomalies, and opportunities automatically so you can stay proactive.
• Real-time dashboards: The platform updates dashboards as data changes.
• Scalable for large data sets: ThoughtSpot is built to handle complex and high-volume data environments.
• Embedded analytics for easy integration: ThoughtSpot’s APIs allow you to embed insights into their existing applications and workflows.

These 10 Power BI alternatives and competitors offer diverse features to meet a range of business needs. As you explore these platforms, prioritize those that allow you to unlock the full potential of your data and move innovation forward. 

Domo is a top option with real-time analytics, scalability, and an intuitive interface. Whether you’re a startup or a large enterprise, Domo’s cloud-based platform offers the versatility needed to keep your business ahead of the curve. Explore the Domo difference with our free 2-minute demo.