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Data warehouse ⇄ Database

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

Keep ClickHouse 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.

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

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Why teams connect ClickHouse and InterSystems IRIS

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

Common use cases

  • 01 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • 02 Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
  • 03 Consolidate IRIS data with other databases in an analytics warehouse for cross-system reporting
  • 04 Keep reference data consistent between an IRIS-based clinical or financial application and downstream SaaS tools

Common sync patterns

Serve warehouse results at database speed

Aggregates or model outputs computed in ClickHouse 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 ClickHouse and keep InterSystems IRIS focused on its operational workload.

What you can sync between ClickHouse 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.

ClickHouse objects InterSystems IRIS objects How this pairing syncs
Views Saved queries used as curated, read-only sync sources. 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.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Namespaces Namespaces partition databases and determine the connection context for integrations. Tables (MergeTree family) is specific to ClickHouse and Namespaces to InterSystems IRIS — each maps to any object or custom field on the other side.
Databases Namespaces that group tables and scope permissions for sync users. Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. Databases is specific to ClickHouse and Stored Procedures to InterSystems IRIS — each maps to any object or custom field on the other side.
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. Materialized views is specific to ClickHouse and Tables to InterSystems IRIS — each maps to any object or custom field on the other side.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Schemas Schema organization scopes which tables a sync connection can see. Distributed tables is specific to ClickHouse and Schemas to InterSystems IRIS — each maps to any object or custom field on the other side.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. Dictionaries is specific to ClickHouse and Persistent Classes to InterSystems IRIS — each maps to any object or custom field on the other side.

How changes propagate between ClickHouse 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.

ClickHouse InterSystems IRIS Interval-based propagation

DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.

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

InterSystems IRIS ClickHouse 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 ClickHouse 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.
What ships with ClickHouse ⇄ InterSystems IRIS

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse 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 ClickHouse or InterSystems IRIS record.

Observability

Monitoring

Track your ClickHouse ⇄ 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 ClickHouse and InterSystems IRIS.

How the ClickHouse and InterSystems IRIS connectors work

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write

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

    Choose tables

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

ClickHouse 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 ClickHouse and InterSystems IRIS.

Popular · 8 of 392
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