Sensor Tower vs Steam Data Suite

Struggling to choose between Sensor Tower and Steam Data Suite? Both products offer unique advantages, making it a tough decision.

Sensor Tower is a Business & Commerce solution with tags like app-analytics, market-intelligence, mobile-app-metrics, app-store-optimization.

It boasts features such as App Store and Google Play analytics, Competitive benchmarking, Ad intelligence, ASO tools, User acquisition analytics, Subscription analytics, Ad fraud detection, App revenue estimates, App ranking tracking, App store optimization and pros including In-depth app analytics and insights, Comprehensive competitive analysis, Helpful for improving app store rankings, Useful ad intelligence and fraud detection, Robust subscription analytics, Easy to use interface and reporting.

On the other hand, Steam Data Suite is a Gaming Software product tagged with gaming, analytics, statistics, steam.

Its standout features include Data collection from Steam Web API, Pre-built datasets and dashboards, Data analysis and visualization, Open source Python library, Jupyter Notebook integration, and it shines with pros like Free and open source, Large dataset of Steam data, Customizable and extensible, Active development community, Available on GitHub and PyPI.

Feature	Sensor Tower	Steam Data Suite
Overall Score	N/A	N/A
Primary Category	Business & Commerce	Gaming Software

Product Overview

Sensor Tower

Description: Sensor Tower is a mobile app analytics platform that provides insight into the performance of mobile apps across various metrics like downloads, revenue, usage, and more. It offers market intelligence to improve app business growth.

Steam Data Suite

Description: Steam Data Suite is a free open source software for collecting, analyzing and visualizing data from the Steam gaming platform. It allows developers, researchers and enthusiasts to study Steam trends and statistics.

Key Features Comparison

Sensor Tower Features

• App Store and Google Play analytics
• Competitive benchmarking
• Ad intelligence
• ASO tools
• User acquisition analytics
• Subscription analytics
• Ad fraud detection
• App revenue estimates
• App ranking tracking
• App store optimization

Steam Data Suite Features

• Data collection from Steam Web API
• Pre-built datasets and dashboards
• Data analysis and visualization
• Open source Python library
• Jupyter Notebook integration

Pros & Cons Analysis

Sensor Tower

Pros

• In-depth app analytics and insights
• Comprehensive competitive analysis
• Helpful for improving app store rankings
• Useful ad intelligence and fraud detection
• Robust subscription analytics
• Easy to use interface and reporting

Cons

• Expensive compared to other analytics tools
• Limited free plan
• Data restricted to top apps only on free plan
• Lacks support for other app stores beyond iOS/Android
• Requires app registration for full analytics access

Steam Data Suite

Pros

• Free and open source
• Large dataset of Steam data
• Customizable and extensible
• Active development community
• Available on GitHub and PyPI

Cons

• Requires technical knowledge to fully utilize
• Limited documentation for new users
• Data only from Steam platform
• May require additional tools for analysis

Pricing Comparison

Sensor Tower

• Free
• Subscription-Based

Steam Data Suite

• Open Source