Best Device Graph Databases
Device graph databases are datasets that provide information about the relationships between different devices used by individuals. These databases collect and analyze data from various sources, such as mobile devices, computers, and smart home devices, to create a comprehensive view of a user’s digital footprint. By mapping the connections between devices, device graph databases enable businesses to gain insights into user behavior, preferences, and cross-device interactions. This data is valuable for targeted advertising, personalized marketing campaigns, and improving user experiences across multiple devices.
Recommended Device Graph Databases
OTT /CTV DATA ( DEVICE GRAPH AND VIEWERSHIP GRAPH) / US AND INTL /600MILLIION+ MONNTHLY
Redmob: MAID Data for Identity Graph for 1.5 Billion devices - Global
Factori CTV/Cross Device Data-2 Billion+ across the Globe
Roq.ad Public Cross-Device Identity Graph⎢Identity Data for USA, Germany, Poland
Roq.ad Private Cross-Device Identity Graph⎢Identity Data for USA, Germany, Poland
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Alesco Phone ID Database - Identity Graph Data with over 650 Million Phone Number, covers 94% of the US population - available for licensing!
Redmob: Advertising Data for 1.5 Billion Devices - Real-Time Bidding Data
Datastream Group Identity Graph Data USA by (MAIDs matched to PII)
Alesco Phone ID Database - Phone Data with over 650 Million Phone Number with Carrier Name, covers 94% of the US population - available for licensing!
Stirista's Online and Offline ID Graph: Identity Linkage Data, Consumer Marketing Data, Demographic Data, Audience Data, and Prospect Data - US
What is a device graph database?
A device graph database is a dataset that provides information about the relationships between different devices used by individuals. It collects and analyzes data from various sources to create a comprehensive view of a user’s digital footprint.
How does a device graph database work?
A device graph database works by collecting data from different devices, such as mobile devices, computers, and smart home devices. It then analyzes this data to identify connections and relationships between the devices, creating a graph-like structure that represents the user’s digital ecosystem.
What are the benefits of using a device graph database?
Using a device graph database offers several benefits. It allows businesses to gain insights into user behavior, preferences, and cross-device interactions. This data can be used for targeted advertising, personalized marketing campaigns, and improving user experiences across multiple devices.
What types of data are collected by device graph databases?
Device graph databases collect various types of data, including device identifiers, IP addresses, browsing history, app usage, location data, and more. This data is used to establish connections between devices and build a comprehensive profile of a user’s digital activities.
How is privacy protected in device graph databases?
Privacy protection is a crucial aspect of device graph databases. They adhere to strict data protection regulations and employ various security measures to ensure the anonymity and confidentiality of user data. Personal information is typically anonymized or encrypted to prevent unauthorized access.
How are device graph databases used in marketing?
Device graph databases are used in marketing to enable targeted advertising and personalized marketing campaigns. By understanding a user’s cross-device interactions and preferences, businesses can deliver relevant and timely advertisements to specific individuals, improving the effectiveness of their marketing efforts.