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.

Feature	Fabric by Twitter	Rakam
Overall Score	N/A	N/A
Primary Category	Development	Ai Tools & Services

Product Overview

Fabric by Twitter

Description: 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.

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.

Key Features Comparison

Fabric by Twitter Features

• Crash reporting and stability monitoring
• Mobile analytics and A/B testing
• Network request tracing
• Mobile app distribution and provisioning

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

Fabric by Twitter

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

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

Fabric by Twitter

• Free
• Open Source

Rakam

• Open Source