Comparing competitive business intelligence (BI) tools involves considering various factors such as features, capabilities, pricing, user experience, integration, and scalability.

Here's a high-level comparison of some popular BI tools.

Microsoft Power BI

• Features: Robust data visualization, self-service analytics, seamless integration with Microsoft ecosystem, natural language querying.
• User Experience: User-friendly interface, suitable for business users.
• Pricing: Offers Power BI Pro for individual users and Power BI Premium for enterprise needs.
• Integration: Strong integration with Microsoft products and services.
• Scalability: Scales well for different user levels and business sizes.

Tableau

• Features: Rich data visualization, interactive dashboards, extensive data connectors, advanced analytics, drag-and-drop interface.
• User Experience: Highly intuitive, suitable for both beginners and advanced users.
• Pricing: Offers Tableau Desktop for authoring and Tableau Server for sharing; pricing can vary.
• Integration: Supports integration with various data sources and platforms.
• Scalability: Scales well for both small teams and large enterprises.

QlikView/Qlik Sense:

• Features: Associative data model, interactive dashboards, self-service discovery, embedded analytics.
• User Experience: Empowers users to explore data intuitively.
• Pricing: Qlik offers different licensing options, pricing varies.
• Integration: Supports integration with various data sources and third-party tools.
• Scalability: Suitable for organizations of various sizes.

Domo:

• Features: Cloud-based, real-time data integration, customizable dashboards, advanced analytics.
• User Experience: User-friendly interface with drag-and-drop capabilities.
• Pricing: Subscription-based pricing, customized to organization needs.
• Integration: Integrates with multiple data sources and offers APIs.
• Scalability: Scales for small to large enterprises.

Looker:

• Features: Embedded analytics, data exploration, SQL-based querying, data modeling.
• User Experience: Designed for data analysts and business users.
• Pricing: Customized pricing based on the number of users and data usage.
• Integration: Supports various data sources and has API capabilities.
• Scalability: Suited for various business sizes and data volumes.

Sisense:

• Features: In-chip analytics, data mashup, data connectors, easy data preparation.
• User Experience: User-friendly interface for non-technical users.
• Pricing: Offers flexible pricing based on user count and data volume.
• Integration: Integrates with numerous data sources and platforms.
• Scalability: Scalable for different business needs.

The choice of BI tool depends on your organization's specific needs, existing technology stack, user skill levels, and budget constraints. It's important to evaluate these tools based on your unique requirements to determine which one aligns best with your goals and resources. Additionally, since the BI landscape is evolving, I recommend checking the latest updates and user reviews before making a decision.