Steam Data Suite vs Sensor Tower

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

Steam Data Suite is a Gaming Software solution with tags like gaming, analytics, statistics, steam.

It boasts features such as Data collection from Steam Web API, Pre-built datasets and dashboards, Data analysis and visualization, Open source Python library, Jupyter Notebook integration and pros including Free and open source, Large dataset of Steam data, Customizable and extensible, Active development community, Available on GitHub and PyPI.

On the other hand, Sensor Tower is a Business & Commerce product tagged with app-analytics, market-intelligence, mobile-app-metrics, app-store-optimization.

Its standout features include 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 it shines with pros like 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.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

Steam Data Suite

• Open Source

Sensor Tower

• Free
• Subscription-Based