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Database ⇄ Data warehouse

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

Keep InterSystems IRIS and Materialize 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 Fivetran
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Why teams connect InterSystems IRIS and Materialize

Connect InterSystems IRIS and Materialize with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want InterSystems IRIS's rows in Materialize, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in InterSystems IRIS where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in InterSystems IRIS sync into Materialize in real time, and result tables in Materialize sync back into InterSystems IRIS, with schema and type mapping between the two systems handled for you.

Common use cases

  • Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
  • Bridge streaming sources and non-streaming destinations by materializing joins across both.
  • Consolidate IRIS data with other databases in an analytics warehouse for cross-system reporting
  • Keep reference data consistent between an IRIS-based clinical or financial application and downstream SaaS tools

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Materialize and keep InterSystems IRIS focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from InterSystems IRIS land in Materialize as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between InterSystems IRIS and Materialize

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 Materialize objects
Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. Connections & Secrets Stored credentials and endpoints used by sources and sinks.
Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. Schemas & Databases Namespaces that organize objects a sync targets.
Views SQL views expose curated slices of data for outbound replication. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines.
Schemas Schema organization scopes which tables a sync connection can see. Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize.
Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets.
Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. Sinks Outbound connections that emit view changes to Kafka topics.
What ships with InterSystems IRIS ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InterSystems IRIS or Materialize 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 Materialize record.

Observability

Monitoring

Track your InterSystems IRIS ⇄ Materialize 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 Materialize.

How the InterSystems IRIS and Materialize 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

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

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

    Choose tables

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

InterSystems IRIS and Materialize 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 Materialize.

Popular · 8 of 386
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