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

Keep InterSystems IRIS and MySQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect InterSystems IRIS and MySQL

Keep InterSystems IRIS and MySQL synchronized in real time, across engines, regions, or services, in one or both directions.

Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.

Stacksync syncs tables or collections between InterSystems IRIS and MySQL continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.

Common use cases

  • 01 Replicate IRIS tables to Postgres so application teams can build against a familiar database
  • 02 Sync operational tables in IRIS bi-directionally with a CRM so business teams work on IRIS-backed data without SQL access
  • 03 Feed a warehouse from MySQL continuously using binlog-based capture instead of nightly dumps
  • 04 Two-way sync between a MySQL application database and a CRM so operational records and sales records stay identical

Common sync patterns

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

Cross-engine sync

Keep the same dataset live in both InterSystems IRIS and MySQL, so each workload runs on the engine that suits it.

What you can sync between InterSystems IRIS and MySQL

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 MySQL objects How this pairing syncs
Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. Tables The primary sync target; rows map to records in connected systems. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views SQL views expose curated slices of data for outbound replication. Views Read-side projections used as outbound sync sources. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. Stored Procedures Server-side logic that can post-process synced rows. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. Persistent Classes is specific to InterSystems IRIS and Databases (Schemas) to MySQL — 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. Columns Field-level mapping targets with engine-typed values. Globals is specific to InterSystems IRIS and Columns to MySQL — each maps to any object or custom field on the other side.
Namespaces Namespaces partition databases and determine the connection context for integrations. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Namespaces is specific to InterSystems IRIS and Primary and Unique Keys to MySQL — each maps to any object or custom field on the other side.

How changes propagate between InterSystems IRIS and MySQL

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 MySQL 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 applied to MySQL as a row-level write, with types converted between the two schemas.

MySQL InterSystems IRIS Sub-second propagation

DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.

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.
  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with InterSystems IRIS ⇄ MySQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InterSystems IRIS or MySQL 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 MySQL record.

Observability

Monitoring

Track your InterSystems IRIS ⇄ MySQL 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 MySQL.

How the InterSystems IRIS and MySQL 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

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

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

    Choose tables

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

InterSystems IRIS and MySQL 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 507 integrations available for InterSystems IRIS and MySQL.

Popular · 6 of 507
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