Appsee vs Rakam

Struggling to choose between Appsee and Rakam? Both products offer unique advantages, making it a tough decision.

Appsee is a Ai Tools & Services solution with tags like mobile-analytics, user-behavior-tracking, heatmaps.

It boasts features such as Session recordings, Touch heatmaps, Crash reporting, Funnel analysis, Retention tracking and pros including Detailed insight into user behavior, Easy integration, Robust analytics features, User session playback.

On the other hand, Rakam is a Ai Tools & Services product tagged with analytics, big-data, scalable, open-source.

Its standout features include 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 it shines with pros like Highly scalable and performant, Open source and free to use, Flexible and customizable, Real-time analytics capabilities, Designed for big data workloads.

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.

Appsee

Appsee

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.

Categories:
Ai Tools & Services Analytics
mobile-analytics user-behavior-tracking heatmaps

Appsee Features

  1. Session recordings
  2. Touch heatmaps
  3. Crash reporting
  4. Funnel analysis
  5. Retention tracking

Pricing

  • Freemium
  • Subscription-Based

Pros

Detailed insight into user behavior

Easy integration

Robust analytics features

User session playback

Cons

Can slow down app performance

Expensive for small teams

Limited customization options

Rakam

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:
Ai Tools & Services Data Analytics
analytics big-data scalable open-source

Rakam Features

  1. Real-time data collection and processing
  2. Scalable architecture
  3. Support for large volumes of data
  4. Customizable data pipelines
  5. Query engine for ad-hoc analysis
  6. Visualization and dashboarding
  7. Alerting and anomaly detection

Pricing

  • Open Source

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