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New Relic vs Power BI

A detailed comparison to help you choose the right tool for your needs.

New Relic logo

New Relic

Analytics

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VS
Power BI logo

Power BI

Analytics

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A
About New Relic

New Relic is a full-stack observability platform that helps engineering teams monitor, debug, and optimize their entire software infrastructure. It collects telemetry data across applications, infrastructure, logs, and browser interactions, presenting it through a unified interface. The platform is built for developers, DevOps engineers, and SREs who need real-time visibility into complex distributed systems. What sets New Relic apart is its generous free tier and its shift toward a consumption-based pricing model, making enterprise-grade observability more accessible to teams of all sizes.

B
About Power BI

Power BI is Microsoft's business intelligence platform that lets users connect to hundreds of data sources, transform raw data, and create interactive dashboards and reports. It's built for business analysts, data professionals, and decision-makers who need to turn complex datasets into clear visual stories. Its tight integration with the Microsoft ecosystem — including Excel, Azure, and Teams — gives it a significant edge for organizations already invested in Microsoft products. The platform ranges from a free desktop tool to enterprise-grade cloud services, making it accessible to individuals and large organizations alike.

Pricing Comparison

Tool
New Relic
Power BI
Price
Free — From $99/mo
Free — From $9.99/user/mo
Category
Analytics
Analytics
Rating
4.0 (11)
3.6 (40)
Free Plan
Yes
No
Integrations
8+ apps
8+ apps
Founded
2008
2015

Feature Comparison

Feature
New Relic
Power BI
Real-time application performance monitoring
User experience tracking and analysis
Customizable dashboards and visualizations
Error tracking and reporting
Infrastructure monitoring and alerting
Distributed tracing for microservices
Real-time data visualization
Customizable dashboards and reports
Natural language query capabilities
Data modeling and transformation tools
Integration with various data sources
Collaboration features for teams
Mobile access for on-the-go insights

Choose New Relic

New Relic provides real-time analytics for monitoring application performance and user experience.

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Choose Power BI

Power BI is a powerful analytics tool that transforms data into interactive insights.

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Score Comparison

Ease of Use
7.0
7.0
Features
9.0
9.0
Pricing
6.0
8.0
Support
8.0
7.0
Integrations
9.0
9.0
Overall
7.8
8.0
New RelicPower BI

Our Verdict

New Relic

Choose New Relic if your development team requires real-time application performance monitoring with advanced feature sets.

Better support
Power BIWinner

Pick Power BI when your team seeks a cost-effective, interactive analytics tool with robust integration for Microsoft products.

More affordable

New Relic vs Power BI: The Bottom Line

Both New Relic and Power BI are strong analytics tools, but they serve different needs. New Relic has a higher user rating (4.0 vs 3.6). On pricing, New Relic is more affordable starting at $0/mo.

Still unsure? Check the full reviews for New Relic and Power BI, explore New Relic alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is New Relic or Power BI better?

It depends on your needs. New Relic (4.0★) is free to start, while Power BI (3.6★) is from $10/mo. New Relic has a higher user rating.

Can I switch from New Relic to Power BI?

Yes. Most SaaS tools offer data export features. Check if Power BI has a migration guide or import tool specifically for New Relic users. Many offer onboarding assistance for switchers.

Which is cheaper, New Relic or Power BI?

New Relic starts at $0/mo, which is cheaper than Power BI at $10/mo. New Relic also offers a free plan.

What are the main differences between New Relic and Power BI?

New Relic focuses on real-time application performance monitoring and user experience tracking and analysis, while Power BI emphasizes real-time data visualization and customizable dashboards and reports. Both are in the Analytics category but serve slightly different use cases.