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Flurry vs Rakam

Professional comparison and analysis to help you choose the right software solution for your needs.

Flurry icon
Flurry
Rakam icon
Rakam

Flurry vs Rakam: The Verdict

⚡ Summary:

Flurry: Flurry is a mobile analytics service that provides insights on mobile application usage. It tracks metrics like sessions, demographics, device types, and custom events to help developers understand user behavior and improve their apps.

Rakam: Rakam is an open-source analytics platform designed for large-scale data collection and analysis. It is optimized for scalability and high performance to support collecting and processing billions of events per day.

Both tools serve their respective audiences. Compare the features, pricing, and user ratings above to determine which best fits your needs.

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature Flurry Rakam
Sugggest Score
Category Ai Tools & Services Ai Tools & Services
Pricing Open Source

Product Overview

Flurry
Flurry

Description: Flurry is a mobile analytics service that provides insights on mobile application usage. It tracks metrics like sessions, demographics, device types, and custom events to help developers understand user behavior and improve their apps.

Type: software

Rakam
Rakam

Description: Rakam is an open-source analytics platform designed for large-scale data collection and analysis. It is optimized for scalability and high performance to support collecting and processing billions of events per day.

Type: software

Pricing: Open Source

Key Features Comparison

Flurry
Flurry Features
  • User analytics
  • Funnel analysis
  • Crash reporting
  • Audience segmentation
  • A/B testing
  • Push notifications
Rakam
Rakam Features
  • Real-time data collection and processing
  • Scalable architecture
  • Support for large volumes of data
  • Customizable data pipelines
  • Query engine for ad-hoc analysis
  • Visualization and dashboarding
  • Alerting and anomaly detection

Pros & Cons Analysis

Flurry
Flurry

Pros

  • Free basic plan
  • Easy integration
  • Real-time data
  • Customizable dashboards
  • Cross-platform support

Cons

  • Limited historical data in free plan
  • Less flexible than some competitors
  • Can be overwhelming for new users
Rakam
Rakam

Pros

  • Highly scalable and performant
  • Open source and free to use
  • Flexible and customizable
  • Real-time analytics capabilities
  • Designed for big data workloads

Cons

  • Limited out-of-the-box visualizations
  • Steep learning curve
  • Requires DevOps skills for setup and management
  • Not as feature rich as commercial alternatives

Pricing Comparison

Flurry
Flurry
  • Not listed
Rakam
Rakam
  • Open Source

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