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

Keep InterSystems IRIS and TimescaleDB 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 InterSystems IRIS and TimescaleDB

Keep InterSystems IRIS and TimescaleDB 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 TimescaleDB 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 Write enriched or corrected records from SaaS apps back into IRIS tables for on-platform processing
  • 02 Replicate IRIS tables to Postgres so application teams can build against a familiar database
  • 03 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
  • 04 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.

Common sync patterns

Cross-engine sync

Keep the same dataset live in both InterSystems IRIS and TimescaleDB, 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 TimescaleDB

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 TimescaleDB objects How this pairing syncs
Views SQL views expose curated slices of data for outbound replication. Views Standard SQL views used to shape or filter data for consumers. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Schemas Schema organization scopes which tables a sync connection can see. Schemas Postgres namespaces used to separate synced datasets by team or environment. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. Globals is specific to InterSystems IRIS and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side.
Namespaces Namespaces partition databases and determine the connection context for integrations. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. Namespaces is specific to InterSystems IRIS and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side.
Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. Stored Procedures is specific to InterSystems IRIS and Hypertables to TimescaleDB — each maps to any object or custom field on the other side.
Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. Tables is specific to InterSystems IRIS and Chunks to TimescaleDB — each maps to any object or custom field on the other side.

How changes propagate between InterSystems IRIS and TimescaleDB

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.

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

TimescaleDB InterSystems IRIS Sub-second propagation

DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.

DeliveryEach detected change is applied to InterSystems IRIS 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.
  • TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with InterSystems IRIS ⇄ TimescaleDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InterSystems IRIS or TimescaleDB 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 TimescaleDB record.

Observability

Monitoring

Track your InterSystems IRIS ⇄ TimescaleDB 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 TimescaleDB.

How the InterSystems IRIS and TimescaleDB 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

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

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

    Choose tables

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

InterSystems IRIS and TimescaleDB 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 InterSystems IRIS and TimescaleDB.

Popular · 8 of 392
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