Firestore is great for mobile and web apps, but querying analytics data from Firestore is limited and expensive. Composite indexes, collection group queries, and aggregation queries are restrictive. Your product and marketing teams need to analyze user behavior, retention, and engagement — but the data is locked in Firestore.
NoSQLSync streams Firestore data to BigQuery in real time. Every document change — user profiles, events, purchases — appears in BigQuery within seconds. Your team builds dashboards in Looker Studio, runs funnel analysis, and computes retention cohorts — all from BigQuery using standard SQL.
Key Benefits
Real-time mobile app analytics
User events stream to BigQuery instantly. No more waiting for daily Firebase exports. See what users are doing right now.
Funnel and retention analysis
Use BigQuery SQL to compute conversion funnels, retention cohorts, and LTV. Firestore can't do this natively — BigQuery makes it trivial.
Combine with Firebase Analytics
Firebase Analytics data already exports to BigQuery. Combine it with your Firestore user data for complete user behavior analysis.
Looker Studio dashboards
Connect Looker Studio to your BigQuery dataset for beautiful, real-time dashboards that your whole team can access.
ML-powered insights
Use BigQuery ML to build churn prediction, recommendation engines, and anomaly detection on your Firestore data.
How to set it up
Frequently asked questions
Firebase's native export exports entire collections daily, not in real time. It also exports all collections — you can't choose specific ones. NoSQLSync streams in real time and lets you select exactly which collections to export.
Sub-collections can be exported as separate BigQuery tables (with a foreign key to the parent document) or flattened into the parent table as a JSON column. You choose per sub-collection.
Solve your migration challenge today
Free plan includes 3 migrations per month. No credit card required.
Start free →