Two-way sync
Changes in IBM AS/400 or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep IBM AS/400 and MongoDB 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 IBM AS/400 and MongoDB 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both IBM AS/400 and MongoDB, so each workload runs on the engine that suits it.
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.
| IBM AS/400 objects | MongoDB objects | |
|---|---|---|
| Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Views Read-only aggregation-defined sources for filtered sync datasets. | |
| Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | Change streams The oplog-backed event feed that powers real-time change capture. | |
| Rows / records The unit of read and write, accessed via SQL or record-level access. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | |
| Journals and journal receivers The change log that enables log-based CDC on journaled files. | Databases Logical groupings of collections that scope a sync connection. | |
| Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | |
| Libraries The schema-equivalent containers that scope which files a sync reads. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–MongoDB connection.
Changes in IBM AS/400 or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM AS/400 or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM AS/400 or MongoDB record.
Track your IBM AS/400 ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM AS/400 and MongoDB.
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 IBM AS/400 and MongoDB 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 IBM AS/400 and MongoDB 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 IBM AS/400 and MongoDB: authenticate both systems, choose the objects to sync (such as IBM AS/400's Logical files (views) and Members), 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 IBM AS/400 and MongoDB: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
IBM AS/400: SQL over JDBC/ODBC to Db2 for i (for example the JTOpen/jt400 driver), alongside native record-level access. Authentication: IBM i user profile credentials (database credentials). MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. Stacksync manages authentication, retries, and rate limits on both sides.
IBM AS/400: Standard access is SQL over JDBC/ODBC (commonly the open-source JTOpen driver), coexisting with legacy record-level access. MongoDB: Documents are schemaless BSON with a 16 MB size limit, so field mappings must tolerate documents that differ in shape within one collection. Stacksync's field mapping accounts for these differences between IBM AS/400 and MongoDB 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 IBM AS/400 and MongoDB records are not retained after a sync operation.
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 IBM AS/400 and MongoDB.