BigQuery and Firebase: Integration and Streaming
Blog post from Firebase
Firebase can be integrated with Google BigQuery to support custom, large-scale analysis of app and user data beyond the standard Firebase console dashboards, including combining Firebase data with other sources and retaining it for longer-term use. BigQuery exports are available for Analytics, Cloud Messaging, Crashlytics, Performance Monitoring, and A/B Testing, while a Firebase Extension can export Cloud Firestore collections; setup requires appropriate IAM permissions and configuration through the Firebase console’s Integrations page. Although standard exports generally make the previous day’s data available, Google Analytics and Crashlytics offer streaming options for current-day or real-time analysis, such as identifying purchase intent quickly or powering live crash dashboards and alerts. Analytics streaming uses temporary intraday event tables, may omit some delayed or failed data, has no historical backfill before linking, and standard properties face a daily one-million-event export limit unless upgraded to Google Analytics 360. Crashlytics provides both daily batch tables, including up to 90 days of backfilled data for trend analysis, and real-time tables without backfill, which can be combined in queries. BigQuery includes free capabilities but charges for storage, streaming inserts, and queries, while its Sandbox permits evaluation without payment details but imposes limits such as 60-day table expiration and no streaming access.
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