Two-way sync
Changes in IBM AS/400 or Jira instantly reflect in both systems. No stale data, no manual imports.
Keep IBM AS/400 and Jira in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
IBM AS/400 is where your application's durable data lives; Jira is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Journals and journal receivers, Data queues, Libraries, Physical files (tables) in IBM AS/400 with Issues, Projects, Comments, Worklogs in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Read and write the synced tables in IBM AS/400 and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Jira arrive as row changes in IBM AS/400, and writes to IBM AS/400 propagate to Jira within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Jira stay matched to the users or owners table in IBM AS/400, so provisioning and de-provisioning flow from one source.
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 | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Libraries The schema-equivalent containers that scope which files a sync reads. | Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Libraries is specific to IBM AS/400 and Users to Jira — each maps to any object or custom field on the other side. | |
| Physical files (tables) The Db2 for i tables mapped directly to sync targets. | Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. | Physical files (tables) is specific to IBM AS/400 and Issues to Jira — each maps to any object or custom field on the other side. | |
| Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Logical files (views) is specific to IBM AS/400 and Projects to Jira — 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. | Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Members is specific to IBM AS/400 and Comments to Jira — 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. | Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Rows / records is specific to IBM AS/400 and Worklogs to Jira — 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. | Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Journals and journal receivers is specific to IBM AS/400 and Sprints to Jira — each maps to any object or custom field on the other side. |
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.
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 written to Jira through its API, with automatic retries and rate-limit backoff.
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
DeliveryEach detected change is applied to IBM AS/400 as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–Jira connection.
Changes in IBM AS/400 or Jira instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM AS/400 or Jira 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 Jira record.
Track your IBM AS/400 ⇄ Jira sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM AS/400 and Jira.
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 Jira 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 Jira 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 Jira: authenticate both systems, choose the objects to sync (such as IBM AS/400's Libraries and Physical files (tables)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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). Jira: REST API v2 and v3 plus the Jira Software (Agile) REST API. Authentication: OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token. Stacksync manages authentication, retries, and rate limits on both sides.
IBM AS/400: Character data is stored in EBCDIC with CCSID-based conversion, so syncs must handle encoding translation to Unicode. Jira: The v3 REST API represents description and comment bodies as Atlassian Document Format (ADF) JSON; v2 uses plain-text / wiki-markup strings. Stacksync's field mapping accounts for these differences between IBM AS/400 and Jira 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 Jira records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM AS/400 and Jira connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM AS/400–Jira integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM AS/400 and Jira. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 312 integrations available for IBM AS/400 and Jira.