Skip to content
Database ⇄ Developer tools

InterSystems IRIS to Jira integration — real-time, two-way sync

Keep InterSystems IRIS 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.

  • 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect InterSystems IRIS and Jira

Keep InterSystems IRIS and Jira in step: the rows in your database and the Comments, Worklogs, Sprints, Versions your engineering tools track stay consistent in real time, in both directions.

InterSystems IRIS 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 Stored Procedures, Tables, Views, Schemas in InterSystems IRIS with Comments, Worklogs, Sprints, Versions 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.

Common use cases

  • 01 Consolidate IRIS data with other databases in an analytics warehouse for cross-system reporting
  • 02 Keep reference data consistent between an IRIS-based clinical or financial application and downstream SaaS tools
  • 03 Load Issues, Worklogs, and status transitions into a warehouse for cycle-time, throughput, and burndown reporting.
  • 04 Sync Sprints and Boards with a capacity-planning tool so estimates and iteration scope stay aligned.

Common sync patterns

Land tool activity as queryable rows

Records and events from Jira arrive in InterSystems IRIS as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.

One integration pattern instead of per-tool API code

Read and write the synced tables in InterSystems IRIS and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.

React to changes on either side in near real time

Updates in Jira arrive as row changes in InterSystems IRIS, and writes to InterSystems IRIS propagate to Jira within seconds, so triggers, jobs, and alerts fire without polling.

What you can sync between InterSystems IRIS and Jira

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.

InterSystems IRIS objects Jira objects How this pairing syncs
Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. Persistent Classes is specific to InterSystems IRIS and Components to Jira — each maps to any object or custom field on the other side.
Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. Globals is specific to InterSystems IRIS and Users to Jira — each maps to any object or custom field on the other side.
Namespaces Namespaces partition databases and determine the connection context for integrations. 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. Namespaces is specific to InterSystems IRIS and Issues to Jira — each maps to any object or custom field on the other side.
Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. Stored Procedures is specific to InterSystems IRIS and Projects to Jira — each maps to any object or custom field on the other side.
Tables Relational projections of stored data are the primary read/write surface for SQL-based 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. Tables is specific to InterSystems IRIS and Comments to Jira — each maps to any object or custom field on the other side.
Views SQL views expose curated slices of data for outbound replication. Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. Views is specific to InterSystems IRIS and Worklogs to Jira — each maps to any object or custom field on the other side.

How changes propagate between InterSystems IRIS and Jira

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.

InterSystems IRIS Jira Interval-based propagation

DetectionStacksync polls InterSystems IRIS for changes on an incremental schedule, reading only records changed since the previous pass. Polling (timestamp or query-based).

DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.

Jira InterSystems IRIS Sub-second propagation

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 InterSystems IRIS as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • InterSystems IRIS: Constrained by database resources rather than published API rate limits.
  • Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
What ships with InterSystems IRIS ⇄ Jira

Connect InterSystems IRIS and Jira for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InterSystems IRIS–Jira connection.

Real-time

Two-way sync

Changes in InterSystems IRIS or Jira instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InterSystems IRIS or Jira 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 InterSystems IRIS or Jira record.

Observability

Monitoring

Track your InterSystems IRIS ⇄ Jira sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between InterSystems IRIS and Jira.

How the InterSystems IRIS and Jira connectors work

InterSystems IRIS

Integration surface
SQL over JDBC/ODBC, plus object and REST access layers
Authentication
Database credentials
Change detection
Polling (timestamp or query-based); no standard webhook surface
Capabilities
read · write
Rate limits
Constrained by database resources rather than published API rate limits

Jira

Integration surface
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
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
How it works

How to connect InterSystems IRIS to Jira — 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 InterSystems IRIS 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    InterSystems IRIS connected
    Jira connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the InterSystems IRIS 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · InterSystems IRIS ⇄ Jira
    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
    InterSystems IRIS Jira
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

InterSystems IRIS and Jira 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 346 integrations available for InterSystems IRIS and Jira.

Popular · 6 of 346
All InterSystems IRIS integrations All Jira integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own