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

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

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Why teams connect DuckDB and InterSystems IRIS

Keep DuckDB and InterSystems IRIS 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 DuckDB and InterSystems IRIS 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 Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
  • 02 Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
  • 03 Replicate IRIS tables to Postgres so application teams can build against a familiar database
  • 04 Sync operational tables in IRIS bi-directionally with a CRM so business teams work on IRIS-backed data without SQL access

Common sync patterns

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.

Regional or environment copies

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

What you can sync between DuckDB 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.

DuckDB objects InterSystems IRIS objects How this pairing syncs
Schemas Namespaces within a database used to organize tables in sync outputs. Schemas Schema organization scopes which tables a sync connection can see. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables Columnar tables created via SQL; the destination for materialized sync data. Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views SQL views used to shape or filter data for downstream consumers. Views SQL views expose curated slices of data for outbound replication. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Attached databases Additional database files or external systems attached into one session for cross-source queries. Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. Attached databases is specific to DuckDB and Stored Procedures to InterSystems IRIS — each maps to any object or custom field on the other side.
Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. Database files is specific to DuckDB and Persistent Classes to InterSystems IRIS — each maps to any object or custom field on the other side.
External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. External files (Parquet/CSV/JSON) is specific to DuckDB and Globals to InterSystems IRIS — each maps to any object or custom field on the other side.

How changes propagate between DuckDB 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.

DuckDB InterSystems IRIS Interval-based propagation

DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.

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

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

Rate-limit considerations

  • DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
  • InterSystems IRIS: Constrained by database resources rather than published API rate limits.
What ships with DuckDB ⇄ InterSystems IRIS

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DuckDB 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 DuckDB or InterSystems IRIS record.

Observability

Monitoring

Track your DuckDB ⇄ 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 DuckDB and InterSystems IRIS.

How the DuckDB and InterSystems IRIS connectors work

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O

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

    Choose tables

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

DuckDB 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 DuckDB and InterSystems IRIS.

Popular · 8 of 392
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