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

Keep InterSystems IRIS and Postgres Heroku 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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Migrated from Mulesoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect InterSystems IRIS and Postgres Heroku

Keep InterSystems IRIS and Postgres Heroku 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 Postgres Heroku 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

  • Sync operational tables in IRIS bi-directionally with a CRM so business teams work on IRIS-backed data without SQL access
  • Consolidate IRIS data with other databases in an analytics warehouse for cross-system reporting
  • Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • Sync Heroku Postgres into a warehouse for reporting without running ETL dynos

Cross-engine sync

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

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

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

What you can sync between InterSystems IRIS and Postgres Heroku

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 Postgres Heroku objects
Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. Tables Standard Postgres tables; the primary two-way sync target for app data.
Views SQL views expose curated slices of data for outbound replication. Views Read-side projections exposed to outbound syncs.
Schemas Schema organization scopes which tables a sync connection can see. Materialized Views Precomputed result sets synced outward on refresh.
Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. Schemas Namespaces that scope which tables a sync reads and writes.
Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. Primary and Unique Keys Match keys for idempotent upserts from connected systems.
Namespaces Namespaces partition databases and determine the connection context for integrations. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
What ships with InterSystems IRIS ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InterSystems IRIS or Postgres Heroku 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 Postgres Heroku record.

Observability

Monitoring

Track your InterSystems IRIS ⇄ Postgres Heroku 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 Postgres Heroku.

How the InterSystems IRIS and Postgres Heroku 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

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

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

    Choose tables

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

InterSystems IRIS and Postgres Heroku integration FAQ

SECURITY

Security teams love 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 386 integrations available for InterSystems IRIS and Postgres Heroku.

Popular · 8 of 386
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