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  • Writer's pictureDuc Pham

2023’s Top Business Intelligence Tools (2): Enterprise Edition

Enterprise solutions can be challenging to navigate when it comes to pricing. Some conceal product costs behind a "Contact Us" button, while others have various additional and hidden fees. In this article, I will strive to assist you in discovering the ideal enterprise Business Intelligence solution and be the blog that give you pricing for all the BI tools in one place.

TL;DR: Here is the 2023 top 10 Business Intelligence software for Enterprise:

The list is sorted by alphabet:

Introduction to Enterprise Business Intelligence

Business Intelligence (BI) tools play a pivotal role in extracting actionable insights from data, enabling informed decision-making. While many organizations opt for managing their analytics internally, the process doesn’t always necessitate starting from scratch. Today, enterprises can leverage sophisticated, enterprise-grade solutions to accelerate BI platform development. These tools empower businesses to establish comprehensive BI suites in a matter of hours or days. Let’s delve into these robust options.

BI for Enterprises can be confusing & complicated
BI for Enterprises can be confusing & complicated

Understanding Enterprise Business Intelligence

Enterprise BI tools cater to large-scale data analytics needs with advanced features and capabilities. Unlike open-source alternatives, these solutions typically offer enhanced scalability, security, and support for complex data environments. Here, we explore some of the leading enterprise BI tools renowned for their performance, scalability, and enterprise-grade functionalities.


Tableau excels in data visualization, offering an intuitive interface for creating interactive dashboards and reports. It supports extensive data integrations and is widely adopted across industries for its user-friendly analytics capabilities.

Tableau Pros:

• Exceptional data visualization capabilities with interactive dashboards.

• Wide industry adoption for user-friendly analytics.

• Supports extensive data integrations.

Tableau Cons:

• High initial cost for enterprise deployments.

• Steeper learning curve for complex functionalities.

Tableau Pricing:

Tableau’s pricing starts at approximately $70 per user per month for Tableau Creator. Tableau Server and Tableau Online have different pricing tiers based on deployment size and functionality.

Power BI

Microsoft’s Power BI is a comprehensive analytics platform that integrates seamlessly with the Microsoft ecosystem. It offers AI-powered insights, advanced data visualizations, and robust collaboration features, making it a preferred choice for enterprises.

PowerBI Pros:

• Seamless integration with Microsoft ecosystem.

• AI-powered insights enhance decision-making.

• Robust collaboration features.

PowerBI Cons:

• Limited customization options compared to some competitors.

• Requires Microsoft environment for optimal integration.

PowerBI Pricing:

Power BI offers a free version with limited features. The Power BI Pro version costs $9.99 per user per month. Power BI Premium pricing starts at $4,995 per month.

Qlik Sense

Qlik Sense provides powerful data analytics and visualization capabilities with a focus on user-driven business intelligence. It supports associative data indexing, allowing users to explore relationships across multiple data sources effortlessly.

Qlik Sense Pros:

• Powerful data analytics with associative data indexing.

• User-driven BI for exploring complex data relationships.

• Strong visualization capabilities.

Qlik Sense Cons:

• Complex pricing model.

•Requires significant IT support for setup and maintenance.

Qlik Sense Pricing:

Qlik Sense pricing is not publicly disclosed and varies based on deployment size and specific requirements. You can easily check their price on Reddit or Vendr. The Analytics Cloud usually costs small teams from around $250/month to several thousand dollars per month.


Looker, now part of Google Cloud, offers a modern BI platform with embedded analytics capabilities. It facilitates data exploration, modeling, and collaboration, leveraging Google Cloud’s infrastructure for scalability and performance.

Looker Pros:

• Modern BI platform with embedded analytics.

• Leverages Google Cloud for scalability and performance.

• Facilitates collaborative data modeling.

Looker Cons:

• Integration limited to Google Cloud ecosystem.

• Customization options can be restrictive.

Looker Pricing:

One of the most expensive and ridiculous priced BI product out there. It involves a combination of license fees and subscription costs. Entry price, or as they newly renamed Core deployment cost $5000/ month (with heavy discount for emerging markets like Vietnam), and the monthly addon cost of $30 per dashboard viewer, $60 for dashboard creators, and $120 per developer who write LookML and do query analysis.


Sisense is known for its agility in handling large datasets and complex analytics tasks. It enables business users to create interactive dashboards and reports without extensive IT support, enhancing data accessibility across organizations.

Sisense Pros:

• Agility in handling large datasets and complex analytics tasks.

• Enables non-technical users to create interactive reports.

• Enhances data accessibility across organizations.

Sisense Cons:

• Higher cost compared to some other BI tools.

• Advanced functionalities may require additional training.

Sisense Pricing:

Another price hiding behind closed door solution, yet, we discovered their pricing through some research. Sisense pricing start around $21,000 annually for a deployment. Expenses rise according to user count and data volume. Being sales-oriented, their customers can receive substantial discounts (50%-70% off), that is the reason they avoid being the priciest product on this list.


ThoughtSpot revolutionizes data analysis with its search-driven analytics platform. Using AI-driven insights, ThoughtSpot enables users to query data using natural language, making it accessible to non-technical stakeholders within enterprises.

ThoughtSpot Pros:

• Search-driven analytics with AI-driven insights.

• Enables natural language querying for non-technical users.

• Promotes self-service analytics within enterprises.

ThoughtSpot Cons:

• Limited support for complex data models.

• Requires robust data governance for accuracy.

ThoughtSpot Pricing:

Team of 5 can use ThoughtSpot for $95/ month but it come with a limit, only 5 million rows of data. $1250 upgrade will get you 20 users and 25 million rows data to work with and more advanced features.


MicroStrategy offers a comprehensive enterprise analytics platform with capabilities for business intelligence, mobile analytics, and embedded analytics. It supports enterprise-scale deployments and provides robust security features.

MicroStrategy Pros:

• Comprehensive enterprise analytics platform.

• Supports mobile analytics and embedded BI.

• Strong security features for data protection.

MicroStrategy Cons:

• Higher complexity in deployment and administration.

• Licensing costs can be prohibitive for smaller enterprises.

MicroStrategy Pricing:

The only product still using the old pricing model, MicroStrategy Desktop starts at around $600 per user annually. While it is the pricier per user product, some companies only require a few accounts, allowing all to access insights and reports with no extra charges. Larger deployments for enterprises can be much more expensive varying based on features and scalability needs.

IBM Cognos Analytics

IBM Cognos Analytics is an AI-powered BI platform that helps enterprises drive data-driven decisions. It offers self-service analytics, reporting, and dashboard capabilities integrated with IBM’s data management and AI tools.

Cognos Analytics Pros:

• AI-powered BI platform for data-driven decisions.

• Self-service analytics and robust reporting capabilities.

• Integration with IBM’s AI and data management tools.

Cognos Analytics Cons:

• Higher costs associated with IBM ecosystem.

• Steeper learning curve for advanced functionalities.

Cognos Analytics Pricing:

  • Cloud On-demand: Starting at $20/ month for a Standard user and $90/ month for Premium user.

  • Cloud-hosted: Monthly cost at $1000 for Admin, $160 for a Data Explorer, $90 a user and view-only account at $26. They also had a special Mobile-only access at $10.

*Note: The cost of Cognos Analytics is just one consideration; however, using it means being part of the IBM cloud ecosystem, which tends to be more costly compared to Google or Amazon.


Domo provides a cloud-based BI platform that consolidates data from various sources into a single dashboard. It offers real-time analytics, collaboration features, and scalable solutions tailored to enterprise needs.

Domo Pros:

• Cloud-based BI with real-time analytics.

• Consolidates data from multiple sources into a single dashboard.

• Scalable solutions tailored to enterprise needs.

Domo Cons:

• Pricing may be prohibitive for smaller businesses.

• Limited customization options for complex analytics.

Domo Pricing:

Standard plan for 5-user is around $4,980/year and can can grow up to 20 users


Alteryx combines data blending, advanced analytics, and process automation in a unified platform. It empowers data analysts and data scientists to perform complex data tasks efficiently, accelerating time-to-insight for enterprises.

Alteryx Pros:

• Unified platform for data blending, analytics, and automation.

• Accelerates time-to-insight for data analysts and scientists.

• Supports complex data tasks and workflows.

Alteryx Cons:

• Requires technical expertise for full utilization.

• Higher initial learning curve compared to simpler tools.

Alteryx Pricing:

For $5195/ year for 1 designer (data developer/ analyst), Alteryx is the highest product in the list by user. However, just like with MicroStrategy, you can buy just 1 license and deploy it on a Virtual machine so everyone can easily access.

Choosing Enterprise BI Tools

Choosing the correct enterprise BI tool hinges on aspects such as scalability, integration features, user-friendliness, and overall cost of ownership. Organizations need to assess their unique analytics needs and infrastructure to select a platform that fits their long-term BI strategy.

Additionally, opting for open-source solutions is viable if your company can dedicate IT and engineering resources to the Business Intelligence initiative.


Enterprise BI tools empower organizations to harness the full potential of their data, driving strategic decision-making and operational efficiency. Whether you’re aiming for advanced analytics, real-time insights, or seamless integration with existing systems, these top 10 enterprise BI tools offer robust solutions tailored to enterprise-grade analytics needs.

This version focuses on enterprise-grade BI tools and their capabilities, highlighting their suitability for large-scale data analytics and business intelligence needs within organizations.

If you decide to try out Rocket.BI, go to our register page or checkout out repo:

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