Two-way sync
Changes in IBM Informix or Jira instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix 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 Informix 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 Logical logs, Databases, Tables, Rows in IBM Informix with Versions, Components, Users, Issues 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.
A new or changed row in IBM Informix creates or updates the matching record in Jira, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Records and events from Jira arrive in IBM Informix as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in IBM Informix and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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 Informix objects | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Tables Relational 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. | Tables is specific to IBM Informix and Issues to Jira — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write, keyed by primary key. | Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Rows is specific to IBM Informix and Projects to Jira — each maps to any object or custom field on the other side. | |
| Views Read-only projections used to shape outbound data. | 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. | Views is specific to IBM Informix and Comments to Jira — each maps to any object or custom field on the other side. | |
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | TimeSeries objects is specific to IBM Informix and Worklogs to Jira — each maps to any object or custom field on the other side. | |
| Stored procedures Server-side logic sometimes invoked as part of write paths. | Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Stored procedures is specific to IBM Informix and Sprints to Jira — each maps to any object or custom field on the other side. | |
| Logical logs The transaction log that Informix's CDC interface reads committed changes from. | Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Logical logs is specific to IBM Informix and Versions 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 Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
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 Informix 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 Informix–Jira connection.
Changes in IBM Informix or Jira instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix 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 Informix or Jira record.
Track your IBM Informix ⇄ Jira sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix 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 Informix 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 Informix 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 Informix and Jira: authenticate both systems, choose the objects to sync (such as IBM Informix's Tables and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
IBM Informix: Its native TimeSeries data type stores time-stamped rows compactly and is a common reason Informix runs in IoT and metering workloads. Jira: Rate limiting is cost-based; JQL search is far more expensive than a single-issue read, and 429 responses carry a Retry-After header. Stacksync's field mapping accounts for these differences between IBM Informix 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 Informix 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 Informix and Jira connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Informix–Jira integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Informix and Jira. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Informix: Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback. On Jira: Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 335 integrations available for IBM Informix and Jira.