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IBM AS/400 to MongoDB integration — real-time, two-way sync

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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect IBM AS/400 and MongoDB

Keep IBM AS/400 and MongoDB synchronized in real time, across engines, regions, or services, in one or both directions.

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.

Common use cases

  • 01 Keep customer and item files aligned with an ecommerce platform or modern ERP during phased modernization.
  • 02 Feed shipment and invoice data from the AS/400 into logistics and finance tools in near real time.
  • 03 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
  • 04 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.

Common sync patterns

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

Cross-engine sync

Keep the same dataset live in both IBM AS/400 and MongoDB, so each workload runs on the engine that suits it.

What you can sync between IBM AS/400 and MongoDB

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 How this pairing syncs
Logical files (views) Indexed or filtered views over physical files, usable as read sources. Views Read-only aggregation-defined sources for filtered sync datasets. Logical files (views) is specific to IBM AS/400 and Views to MongoDB — each maps to any object or custom field on the other side.
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. Members is specific to IBM AS/400 and Change streams to MongoDB — each maps to any object or custom field on the other side.
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. Rows / records is specific to IBM AS/400 and GridFS files to MongoDB — each maps to any object or custom field on the other side.
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. Journals and journal receivers is specific to IBM AS/400 and Databases to MongoDB — each maps to any object or custom field on the other side.
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. Data queues is specific to IBM AS/400 and Collections to MongoDB — each maps to any object or custom field on the other side.
Libraries The schema-equivalent containers that scope which files a sync reads. Documents BSON records created, updated, and deleted during syncs, keyed by _id. Libraries is specific to IBM AS/400 and Documents to MongoDB — each maps to any object or custom field on the other side.

How changes propagate between IBM AS/400 and MongoDB

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

IBM AS/400 MongoDB Sub-second propagation

DetectionChanges in IBM AS/400 are captured at the source via change data capture — no polling loop against its API. Journal-based CDC by reading journal receivers on journaled files.

DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.

MongoDB IBM AS/400 Sub-second propagation

DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).

DeliveryEach detected change is applied to IBM AS/400 as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • IBM AS/400: Bounded by system resources and subsystem configuration rather than an API quota.
What ships with IBM AS/400 ⇄ MongoDB

Connect IBM AS/400 and MongoDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–MongoDB connection.

Real-time

Two-way sync

Changes in IBM AS/400 or MongoDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IBM AS/400 or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single IBM AS/400 or MongoDB record.

Observability

Monitoring

Track your IBM AS/400 ⇄ MongoDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between IBM AS/400 and MongoDB.

How the IBM AS/400 and MongoDB connectors work

IBM AS/400

Integration surface
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)
Change detection
Journal-based CDC by reading journal receivers on journaled files; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Bounded by system resources and subsystem configuration rather than an API quota.

MongoDB

Integration surface
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
Change detection
MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
Capabilities
read · write · CDC
MongoDB setup guide
How it works

How to connect IBM AS/400 to MongoDB — three steps, no code

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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    IBM AS/400 connected
    MongoDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · IBM AS/400 ⇄ MongoDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    IBM AS/400 MongoDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

IBM AS/400 and MongoDB integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 467 integrations available for IBM AS/400 and MongoDB.

Popular · 6 of 467
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