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Business productivity ⇄ Database

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

Keep GitHub and InterSystems IRIS 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 InterSystems IRIS

Mirror GitHub's data into InterSystems IRIS 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 InterSystems IRIS.

Stacksync mirrors Pull Requests, Commits, Releases, Workflow runs (Actions) from GitHub into Globals, Namespaces, Stored Procedures, Tables in InterSystems IRIS 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

  • 01 Create GitHub issues automatically from records written elsewhere, such as bug reports logged in a CRM case object.
  • 02 Publish release data into customer-communication tools when a new version ships.
  • 03 Consolidate IRIS data with other databases in an analytics warehouse for cross-system reporting
  • 04 Keep reference data consistent between an IRIS-based clinical or financial application and downstream SaaS tools

Common sync patterns

Automate GitHub from your codebase

Write to the synced tables in InterSystems IRIS and Stacksync propagates the change into GitHub, replacing custom integration code.

React to changes as they happen

Updates in GitHub arrive as row changes in InterSystems IRIS, 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.

What you can sync between GitHub and InterSystems IRIS

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 InterSystems IRIS objects How this pairing syncs
Pull Requests Review state, status checks, and merge status feed engineering dashboards and workflow tools. Schemas Schema organization scopes which tables a sync connection can see. Pull Requests is specific to GitHub and Schemas to InterSystems IRIS — each maps to any object or custom field on the other side.
Commits Read-only history used to link code activity to tickets and releases. Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. Commits is specific to GitHub and Persistent Classes to InterSystems IRIS — each maps to any object or custom field on the other side.
Releases Tagged versions synced into changelogs, CRMs, or customer-notification systems. Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. Releases is specific to GitHub and Globals to InterSystems IRIS — each maps to any object or custom field on the other side.
Workflow runs (Actions) CI results synced into incident and reporting systems. Namespaces Namespaces partition databases and determine the connection context for integrations. Workflow runs (Actions) is specific to GitHub and Namespaces to InterSystems IRIS — each maps to any object or custom field on the other side.
Organizations and Teams Membership data synced with identity systems and HR directories for access reviews. Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. Organizations and Teams is specific to GitHub and Stored Procedures to InterSystems IRIS — each maps to any object or custom field on the other side.
Users Author and assignee identities matched to internal directories. Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. Users is specific to GitHub and Tables to InterSystems IRIS — each maps to any object or custom field on the other side.

How changes propagate between GitHub and InterSystems IRIS

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.

GitHub InterSystems IRIS Sub-second propagation

DetectionGitHub notifies Stacksync of record changes through webhook events. Webhooks with a broad event catalog covering issues, pull requests, pushes, and releases.

DeliveryEach detected change is applied to InterSystems IRIS as a row-level write, with types converted between the two schemas.

InterSystems IRIS GitHub 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 GitHub through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • GitHub: Authenticated REST requests are limited to 5,000 per hour per user; GitHub Apps scale limits per installation.
  • InterSystems IRIS: Constrained by database resources rather than published API rate limits.
What ships with GitHub ⇄ InterSystems IRIS

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your GitHub ⇄ InterSystems IRIS 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 InterSystems IRIS.

How the GitHub and InterSystems IRIS 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.

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
How it works

How to connect GitHub to InterSystems IRIS — 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 InterSystems IRIS 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
    InterSystems IRIS connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the GitHub and InterSystems IRIS 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 ⇄ InterSystems IRIS
    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 InterSystems IRIS
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

GitHub and InterSystems IRIS 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
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 392 integrations available for GitHub and InterSystems IRIS.

Popular · 8 of 392
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