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Data warehouse ⇄ Database

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

Keep Dremio 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 Dremio and InterSystems IRIS

Connect InterSystems IRIS and Dremio 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 Dremio, 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 Dremio in real time, and result tables in Dremio sync back into InterSystems IRIS, with schema and type mapping between the two systems handled for you.

Common use cases

  • Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
  • Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
  • 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

Serve warehouse results at database speed

Aggregates or model outputs computed in Dremio sync into InterSystems IRIS, where whatever reads from that database gets them without querying the warehouse.

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 Dremio and keep InterSystems IRIS focused on its operational workload.

What you can sync between Dremio 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.

Dremio objects InterSystems IRIS objects
Jobs Query execution records useful for monitoring sync workloads. Persistent Classes Object-model classes project to tables, so class data is reachable through SQL.
Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs.
Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. Namespaces Namespaces partition databases and determine the connection context for integrations.
Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations.
Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs.
Spaces and folders Namespaces that organize virtual datasets and govern access. Views SQL views expose curated slices of data for outbound replication.
What ships with Dremio ⇄ InterSystems IRIS

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dremio 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 Dremio or InterSystems IRIS record.

Observability

Monitoring

Track your Dremio ⇄ 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 Dremio and InterSystems IRIS.

How the Dremio and InterSystems IRIS connectors work

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits

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

    Choose tables

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

Dremio and InterSystems IRIS 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 Dremio and InterSystems IRIS.

Popular · 8 of 386
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