Firebase to Scaleway Postgres integration — real-time, two-way sync

Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Firebase's Subcollections and Realtime Database Nodes), map fields visually, and changes propagate both ways in milliseconds — no code required.

Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.

Common patterns for Firebase and Scaleway Postgres: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

Firebase: REST and gRPC APIs, typically accessed through the Firebase Admin SDK. Authentication: Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.

Firebase: Firestore documents are schemaless and support nested maps and arrays, so syncs define field mappings per document path rather than from a fixed schema. Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. Stacksync's field mapping accounts for these differences between Firebase and Scaleway Postgres without custom code.

Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Firebase and Scaleway Postgres records are not retained after a sync operation.