If you want to use data more effectively, integrating business intelligence software into your company is an excellent start. With 88% of organizations now using some form of artificial intelligence regularly, there’s a growing pressure to make faster decisions by relying on business intelligence tools that can help cut costs and save time, providing real-time insights that could otherwise take hours to complete manually.
One big driver of this shift is the rise of AI-powered copilots. When integrated into business intelligence software, AI tools can help generate and automate analysis without relying on data analysts, which cuts down the time it takes when it comes to reporting and digesting complex data across multiple systems and applications.
In this guide, we review the 10 best business intelligence tools, highlighting the features, strengths, and use cases that matter most for today's organizations.
TABLE OF CONTENTS
What are business intelligence tools?
Business intelligence tools are software apps used to collect, process, analyze, and summarize raw data. They also collect information and transform it into easy-to-digest visual charts and reports, all on a user-friendly dashboard.
These interactive dashboards provide real-time visibility into key performance indicators, allowing users to explore and filter information without relying on IT teams. Many platforms also offer self-service analytics and AI-powered natural language queries, enabling non-technical users to quickly uncover insights. This allows teams to make evidence-based and data-driven decisions.
BI tools comparison table
These BI tools vary in complexity and price, but all provide capabilities for data integration, interactive dashboards, and self-service analytics. Depending on the size of your business, budget, and preferred features, you can easily compare which platform best suits your needs.
|
Tool name |
Pricing |
Free plan |
Ease of use |
Best for |
|
From $14/user/month |
Yes |
Easy |
SMBs and enterprises that need affordable, real-time analytics |
|
|
From $15/user/month |
Yes |
Moderate |
Data-driven organizations requiring advanced visualization |
|
|
Custom pricing |
No |
Moderate |
Large enterprises using Google Cloud ecosystems |
|
|
From $20/user/month |
Yes |
Moderate |
Businesses seeking AI-powered insights and self-service analytics
|
|
|
Custom pricing |
No |
Moderate |
Large enterprises with complex reporting requirements |
|
|
Custom pricing |
No |
Easy |
Fast-growing companies needing cloud-based dashboards |
|
|
Custom pricing |
No |
Moderate |
Mid-sized and enterprise firms embedding analytics into applications |
|
|
From $24/month |
Yes |
Easy |
Small businesses looking for cost-effective BI tools |
|
|
From $10/user/month |
Yes |
Moderate |
Enterprises prioritizing AI-assisted reporting |
|
|
From $16/user/month |
No |
Moderate |
Organizations managing large-scale data environments |
What to look for in a BI tool
When selecting a business intelligence tool, it’s essential to look for platforms that balance ease of use with data governance. You want the tool to work with trusted metrics, include AI features to speed up processes, and be accessible for cross-departmental use.
Some criteria to take note of include:
- Business fit: Determine whether the tool is suitable for the size of your business.
- AI capabilities: Does the tool have AI copilots and automated systems?
- Integration ecosystem: Is the tool compatible with other databases or storage solutions that you use?
- Ease of use: How easy is the tool? Is it difficult to navigate through the tabs? Will someone with less tech experience be able to use it?
- Real-time analytics: Is there up-to-date reporting and KPI monitoring included within the platform?
- Cloud support: Cloud support is essential in hybrid environments. Question whether the tool has cloud support or not.
- Collaboration features: Does the tool have sharing capabilities so that more than one team member can access and use the tool simultaneously?
- Scalability: Does the platform have the capacity to handle growing datasets and increasing numbers of users?
The top 10 BI tools in 2026
1. Microsoft Power BI
Microsoft Power BI is a comprehensive business analytics and data visualization platform. It allows users to connect to hundreds of data sources, digest raw information, and transform it into interactive insights shared on a user-friendly interface.
The intuitive platform easily connects to over 100 data sources, including Excel and SQL, so any department can easily access and use the information as they need. In addition, with an interactive drag-and-drop element, it’s ideal for workers across all departments, allowing businesses to rapidly advance their operations and transform numbers into actionable insights.
2. Tableau
Tableau has considerable leverage over other BI platforms. Its intuitive analytics platform enables companies to explore, visualize, and analyze data, while users can easily create dashboards that can be shared with colleagues and customers alike.
Tableau isn’t just for enterprises. It’s also available to the individual analyst and offers a dedicated certification program, which can be particularly useful if you’re looking to boost your career prospects. You don’t have to go at it alone, either: Tableau provides extensive training, while there are plenty of online resources to help you prepare for your Tableau certification exam.
3. Looker
Looker is another prominent data discovery app. It offers insightful intelligence to businesses of all sizes and allows you to create attractive visuals to convey data and easily share it across different devices.
One of its key components is its adaptability. It can produce data models based on the company’s structure and tailor information according to your company’s needs.
4. QlikView
If you want to take strategic business steps, QlikView is the BI software for you.
Its automatically generated reports will help you discover hidden trends and patterns to guide your business decisions and plans. It also sports a drag-and-drop function, which allows you to put together attractive visuals and create a customizable dashboard.
This BI application takes artificial intelligence a step further by integrating it with augmented intelligence. In other words, it allows users from all experience levels to utilize the platform with ease. Plus, its adaptable nature also allows developers to build the application to their preferences.
5. SAP
SAP is an enterprise-level software that can be easily integrated into any system. Its data analysis is particularly interesting, as it also considers customer behavior as a factor. Plus, you can source information from different platforms, including Java, and create a more comprehensive database.
Accessibility is essential, and SAP doesn’t disappoint here either, as it’s accessible from various platforms, including mobile and desktop. However, on a more critical note, SAP is reportedly more complicated compared to its counterparts.
6. Domo
Domo is an entirely cloud-based business management application and can be used by businesses of all sizes and industries. A great benefit that comes with this business intelligence tool is its ability to integrate different data sources, such as Microsoft Excel and SQL, to produce informative results.
It has plenty of distinct features, but one that is certainly worth mentioning is its centralized dashboard, which lets users access company-wide data without fuss.
7. Sisense
Sisense is another popular choice because of its collaborative tools, which make it easy for employees to share insights and consolidate data among each other.
One of Sisense’s most noteworthy features is its in-chip analytics technology, which allows data to be analyzed faster and from different sources, giving you and your company a lot of flexibility.
This data discovery and analysis tool is ideal for businesses of all sizes, and its user-friendly system is especially fitting for those who aren’t so tech-savvy.
8. IBM Cognos
IBM Cognos is a cloud-based business intelligence tool that helps build interactive dashboards, perform data analysis, and embed visuals in your application. It supports AI assistance and governs data deployments across cloud and hybrid environments.
The tool bridges the gap between knowing and doing. Its simple interface helps businesses transform insights into results without delays or hand-offs.
9. Zoho Analytics
Zoho Analytics is a cloud-based application that offers data analysis, reporting, dashboards, and data warehousing. You can monitor key business metrics across multiple departments and find hidden trends that will help you understand your business’s performance better.
Zoho is another self-service BI tool, which allows users to customize the way data is visualized. And to save the best for last, it has an embedded intelligent assistant whose aim is to come up with suitable answers in the form of reports and KPI widgets.
10. Oracle Business Intelligence
If you’re looking for a BI application that can analyze a heavy load of data, look no further. Oracle Business Intelligence incorporates integrated query, reporting, analysis, mobile analytics, data integration, and management, among other things.
Its visual analytics also means that employees can freely create their dashboards and reports to present and communicate information to their colleagues without fuss. Some of the options include charts, pivot tables, and visually appealing dashboards, all of which are fully interactive.
FAQs
What is the best BI tool for small businesses?
Microsoft BI or Zoho Analytics are the best tools for small, all-in-one teams. If your team already operates with a Microsoft ecosystem, then Microsoft BI would be easy to implement and connect with your current files. Whereas Zoho will also connect to external data sources like HubSpot or QuickBooks if needed.
Is Power BI better than Tableau?
Neither tool is better or worse. It all depends on your budget and requirements. Power BI is known for its affordability and ease of use, whereas Tableau offers more advanced visual customization and large datasets.
Which BI tool has the best AI features?
Tableau and Zoho Analytics are well-known for their AI integrations. Tableau offers AI-generated insights that are sent directly to users, while Zoho offers natural language querying and predictive forecasting.
What’s the difference between BI and data analytics?
BI uses both historical and current data to show what happened and supports immediate decision-making. Data analytics go deeper to find out why something happened and forecast what will happen next.
Are free BI tools worth using?
Free BI tools are worth a try if you have a small team and a low budget. They provide advanced visualization, data modelling, and KPI tracking without the need to pay for a subscription. That said, if you want more advanced insights, a paid subscription is worth investing in.
Wrapping up
Data analysis has become the forefront of many business operations, and with that, the need for advanced business intelligence tools has become a must. Depending on the scale of the organization and the features your team requires, there’s a tool perfect for your organization’s needs.
This article is a complete update of an earlier version originally published in October 2019.