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Business productivity ⇄ Database

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

Keep GitHub 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.

  • 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 GitHub and IBM AS/400

Mirror GitHub's data into IBM AS/400 so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like GitHub through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in IBM AS/400.

Stacksync mirrors Pull Requests, Commits, Releases, Workflow runs (Actions) from GitHub into Members, Rows / records, Journals and journal receivers, Data queues in IBM AS/400 and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into GitHub, so the tool and the database never disagree.

Common use cases

  • Create GitHub issues automatically from records written elsewhere, such as bug reports logged in a CRM case object.
  • Publish release data into customer-communication tools when a new version ships.
  • Expose AS/400 order, inventory, and item master data to modern SaaS tools without rewriting green-screen applications.
  • Use journal-based change capture to replicate IBM i data into a cloud warehouse for reporting.

React to changes as they happen

Updates in GitHub arrive as row changes in IBM AS/400, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read GitHub with a query

Records from GitHub are ordinary rows in IBM AS/400; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between GitHub and IBM AS/400

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.

GitHub objects IBM AS/400 objects
Repositories Top-level containers whose metadata and settings syncs read to scope other objects. Data queues Program-to-program messaging objects sometimes used to hand events off to integrations.
Issues Synced two-way with project trackers and support tools, including labels and assignees. Libraries The schema-equivalent containers that scope which files a sync reads.
Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. Physical files (tables) The Db2 for i tables mapped directly to sync targets.
Commits Read-only history used to link code activity to tickets and releases. Logical files (views) Indexed or filtered views over physical files, usable as read sources.
Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. Members Sub-partitions of files in legacy applications, flattened or selected during syncs.
Workflow runs (Actions) CI results synced into incident and reporting systems. Rows / records The unit of read and write, accessed via SQL or record-level access.
What ships with GitHub ⇄ IBM AS/400

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever GitHub or IBM AS/400 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 GitHub or IBM AS/400 record.

Observability

Monitoring

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

Trading partners

EDI

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

How the GitHub and IBM AS/400 connectors work

GitHub

Integration surface
REST API and GraphQL API
Authentication
OAuth 2.0, fine-grained personal access tokens, or GitHub App installation tokens
Change detection
Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases; polling for backfill
Capabilities
read · write · webhooks
Rate limits
Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.

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.
How it works

How to connect GitHub to IBM AS/400 — 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 GitHub 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.

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

    Choose tables

    Pick the GitHub 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · GitHub ⇄ IBM AS/400
    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
    GitHub IBM AS/400
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

GitHub and IBM AS/400 integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for GitHub and IBM AS/400.

Popular · 8 of 386
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