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.

Feature	Rakam	Flurry
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

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.

Flurry

Description: 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.

Key Features Comparison

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

Flurry Features

• User analytics
• Funnel analysis
• Crash reporting
• Audience segmentation
• A/B testing
• Push notifications

Pros & Cons Analysis

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

Flurry

Pros

• Free basic plan
• Easy integration
• Real-time data
• Customizable dashboards
• Cross-platform support

Cons

• Limited historical data in free plan
• Less flexible than some competitors
• Can be overwhelming for new users

Pricing Comparison

Rakam

• Open Source

Flurry

• Freemium
• Subscription-Based