Two-way sync
Changes in Firebase or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep Firebase and IBM AS/400 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Firebase and IBM AS/400 continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Keep the same dataset live in both Firebase and IBM AS/400, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Firebase objects | IBM AS/400 objects | |
|---|---|---|
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Libraries The schema-equivalent containers that scope which files a sync reads. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Physical files (tables) The Db2 for i tables mapped directly to sync targets. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Logical files (views) Indexed or filtered views over physical files, usable as read sources. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Rows / records The unit of read and write, accessed via SQL or record-level access. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–IBM AS/400 connection.
Changes in Firebase or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Firebase or IBM AS/400 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Firebase or IBM AS/400 record.
Track your Firebase ⇄ IBM AS/400 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Firebase and IBM AS/400.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Firebase and IBM AS/400 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Firebase and IBM AS/400 objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and IBM AS/400: authenticate both systems, choose the objects to sync (such as Firebase's Cloud Storage Objects and Cloud Functions Triggers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 IBM AS/400 records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Firebase and IBM AS/400 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–IBM AS/400 integration in-house.
Yes — Stacksync ships production-grade connectors for both Firebase and IBM AS/400. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Firebase: Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes. On IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Firebase side: Cloud Functions Triggers, Firestore Collections, Firestore Documents, Subcollections, plus custom fields where Firebase exposes them. On the IBM AS/400 side: Data queues, Libraries, Physical files (tables), Logical files (views). Stacksync auto-detects both schemas and converts types between the two systems.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Firebase and IBM AS/400.