In this episode of Mobile Development with Fexingo, Lucas and Luna explore how on-device graph databases are transforming mobile app personalization. They use LinkedIn's recommendation engine and a hypothetical dating app to illustrate why graph structures outperform traditional relational databases for modeling user relationships and content affinity. The discussion covers performance gains (sub-50ms queries), offline capabilities, and practical adoption paths using SQLite with extensions or dedicated libraries like GRDB. A must-listen for mobile engineers looking to up-level personalization without compromising privacy or latency.

#GraphDatabases #MobileDevelopment #Personalization #LinkedIn #OnDeviceAI #SQLite #GRDB #RecommendationEngine #OfflineCapabilities #PrivacyByDesign #UserAffinity #RelationshipGraph #AppPerformance #iOSDev #AndroidDev #Technology #FexingoBusiness #BusinessPodcast

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