Real-time
Two-way sync
Changes in IBM AS/400 or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Database
IBM AS/400 to PostgreSQL integration — real-time, two-way sync
Keep IBM AS/400 and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect IBM AS/400 and PostgreSQL
Keep IBM AS/400 and PostgreSQL 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 PostgreSQL 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 Use journal-based change capture to replicate IBM i data into a cloud warehouse for reporting.
- 02 Keep customer and item files aligned with an ecommerce platform or modern ERP during phased modernization.
- 03 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
- 04 Let an application write to its own database and have those rows appear as records in business systems in near real time
Common sync patterns
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 PostgreSQL, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
What you can sync between IBM AS/400 and PostgreSQL
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 | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Views Read-side projections used to expose joined or filtered data to a sync. | Logical files (views) is specific to IBM AS/400 and Views to PostgreSQL — 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. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Members is specific to IBM AS/400 and Materialized Views to PostgreSQL — 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Rows / records is specific to IBM AS/400 and Schemas to PostgreSQL — 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. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | Journals and journal receivers is specific to IBM AS/400 and Columns to PostgreSQL — 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. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Data queues is specific to IBM AS/400 and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side. | |
| Libraries The schema-equivalent containers that scope which files a sync reads. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Libraries is specific to IBM AS/400 and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between IBM AS/400 and PostgreSQL
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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL IBM AS/400 Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
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.
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with IBM AS/400 ⇄ PostgreSQL
Connect IBM AS/400 and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever IBM AS/400 or PostgreSQL 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 PostgreSQL record.
Observability
Monitoring
Track your IBM AS/400 ⇄ PostgreSQL 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 PostgreSQL.
How the IBM AS/400 and PostgreSQL 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.
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect IBM AS/400 to PostgreSQL — 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.
- 01
Connect your apps
Authenticate IBM AS/400 and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
IBM AS/400
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the IBM AS/400 and PostgreSQL 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.
objects · IBM AS/400 ⇄ PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
IBM AS/400 PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
IBM AS/400 and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between IBM AS/400 and PostgreSQL: 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.
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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 PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM AS/400 and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM AS/400–PostgreSQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both IBM AS/400 and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; polling as a fallback. On PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the IBM AS/400 side: Data queues, Libraries, Physical files (tables), Logical files (views), plus custom fields where IBM AS/400 exposes them. On the PostgreSQL side: Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 472 integrations available for IBM AS/400 and PostgreSQL.
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