Struggling to choose between Rakam and Appsee? 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, Appsee is a Ai Tools & Services product tagged with mobile-analytics, user-behavior-tracking, heatmaps.
Its standout features include Session recordings, Touch heatmaps, Crash reporting, Funnel analysis, Retention tracking, and it shines with pros like Detailed insight into user behavior, Easy integration, Robust analytics features, User session playback.
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 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.
Appsee is a mobile analytics platform that provides insights into how users interact with mobile apps. It records touch heatmaps, user sessions, funnels, and crash reports to help developers understand user behavior.