Fabric by Twitter vs Rakam

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

Fabric by Twitter is a Development solution with tags like crash-reporting, analytics, tracing, distribution.

It boasts features such as Crash reporting and stability monitoring, Mobile analytics and A/B testing, Network request tracing, Mobile app distribution and provisioning and pros including Easy crash reporting integration, Powerful A/B testing features, Network profiling helps optimize app performance, Seamless distribution to beta testers.

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.

Fabric by Twitter

Fabric by Twitter

Fabric is a mobile app development platform created by Twitter. It provides tools for crash reporting, app analytics, network request tracing, and mobile app distribution.

Categories:
crash-reporting analytics tracing distribution

Fabric by Twitter Features

  1. Crash reporting and stability monitoring
  2. Mobile analytics and A/B testing
  3. Network request tracing
  4. Mobile app distribution and provisioning

Pricing

  • Free
  • Open Source

Pros

Easy crash reporting integration

Powerful A/B testing features

Network profiling helps optimize app performance

Seamless distribution to beta testers

Cons

Steep learning curve

Limited third-party integrations

Requires expertise with Twitter ecosystem and tools


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:
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