What is SDK Data? Definition, Sources & Datasets to buy

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Eugenio Caterino
Editor & Data Industry Expert

What is SDK Data?

SDK data is information collected and transmitted by a Software Development Kit (SDK). An SDK is a set of tools and resources that developers use to create applications for specific platforms. The SDK collects various data points, such as user interactions, device information, and app usage statistics. This data is crucial for developers to understand how their app is being used, identify issues, and make improvements.
Examples of SDK data include user demographics, app usage patterns, device information, and SDK location data. SDK data is used by developers and marketers to gain insights into user behavior, improve app performance, and deliver personalized experiences. In this page, you’ll find the best data sources for SDK location data.

Best SDK Datasets & APIs

Pricing available upon request
5.0(2)
Pricing available upon request

Start.io | App Install Data | 2.4B+ MAU / 500K+ Active Mobile Apps / 35B+ SDKs

Available for 248 countries
30B SDK download
1 years of historical data
Available Pricing:
One-off purchase
Yearly License
Free sample preview
5.0(3)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample preview
Starts at
$750 / month
Pricing available upon request
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview

Start.io | Global Mobile App Graph Data | 2.4B+ MAU / 500K+ Active Mobile Apps / 35B+ SDKs

Available for 248 countries
30B SDK download
1 years of historical data
Available Pricing:
One-off purchase
Yearly License
Free sample preview

Start.io | Global Cell Tower Data | 2.4B+ MAU / 500K+ Active Mobile Apps / 35B+ SDKs

Available for 249 countries
10B Daily Location Events
1 years of historical data
Available Pricing:
One-off purchase
Yearly License
Free sample preview

OTT /CTV DATA ( DEVICE GRAPH AND VIEWERSHIP GRAPH) / US AND INTL /600MILLIION+ MONNTHLY

Available for 1 countries
1B EVENTS
12 months of historical data
Pricing available upon request
Free sample preview

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SDK Data Use Cases

Frequently Asked Questions

What is SDK Data?

SDK Data refers to the information collected and transmitted through Software Development Kits (SDKs) integrated into mobile apps or software applications. It encompasses various types of data, such as user behavior, device information, location data, and app usage statistics.

How is SDK Data collected?

SDK Data is collected by integrating SDKs into mobile apps or software applications. These SDKs capture and transmit data in real-time or periodically, depending on the configuration. The SDKs interact with the app’s code to collect information such as user interactions, device details, and other relevant data points.

What is SDK Data used for?

SDK Data is used for a variety of purposes, including user analytics, marketing and advertising optimization, app performance monitoring, user personalization, and targeted advertising. It provides valuable insights into user behavior, helps improve app functionality, and informs decision-making processes for businesses.

What’s a quality checklist for SDK Data?

A quality checklist for SDK Data includes:

  • Accuracy: Ensuring that the data collected is accurate and reliable.
  • Completeness: Confirming that all necessary data points are captured and transmitted.
  • Privacy compliance: Ensuring that the collection and usage of SDK Data comply with relevant privacy regulations and user consent.
  • Compatibility: Verifying that the SDK is compatible with the targeted platforms and devices.
  • Data security: Implementing appropriate measures to protect the SDK Data from unauthorized access or breaches.
  • Reliability: Ensuring that the SDK operates consistently and reliably across different environments and scenarios.

How is SDK Data priced?

The pricing of SDK Data can vary depending on several factors, including the data provider, the type and depth of data, the volume of data collected, and the intended use of the data. Pricing models can include subscription-based plans, tiered pricing based on data volume or features, or customized pricing based on specific requirements or data usage agreements. It is important to consult with the data provider to understand their pricing structure and negotiate terms that align with your specific needs.

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