Rakam vs Flurry
Struggling to choose between Rakam and Flurry? Both products offer unique advantages, making it a tough decision.
Rakam is a Ai Tools & Services solution with tags like analytics, big-data, scalable, open-source.
It boasts features such as 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 and pros including Highly scalable and performant, Open source and free to use, Flexible and customizable, Real-time analytics capabilities, Designed for big data workloads.
On the other hand, Flurry is a Ai Tools & Services product tagged with mobile, analytics, usage-tracking.
Its standout features include User analytics, Funnel analysis, Crash reporting, Audience segmentation, A/B testing, Push notifications, and it shines with pros like Free basic plan, Easy integration, Real-time data, Customizable dashboards, Cross-platform support.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
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.
Categories:
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
Pricing
- Open Source
Pros
Cons
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.
Categories:
Flurry Features
- User analytics
- Funnel analysis
- Crash reporting
- Audience segmentation
- A/B testing
- Push notifications
Pricing
- Freemium
- Subscription-Based