Two-way sync
Changes in InterSystems IRIS or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep InterSystems IRIS and Snowflake in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want InterSystems IRIS's rows in Snowflake, 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 Snowflake in real time, and result tables in Snowflake sync back into InterSystems IRIS, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Snowflake and keep InterSystems IRIS focused on its operational workload.
Rows from InterSystems IRIS land in Snowflake as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Snowflake sync into InterSystems IRIS, where whatever reads from that database gets them without querying the warehouse.
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 | Snowflake objects | |
|---|---|---|
| Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | |
| Namespaces Namespaces partition databases and determine the connection context for integrations. | Databases Top-level containers that scope which data a sync can touch. | |
| Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. | Schemas Namespaces within a database used to organize synced tables. | |
| Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. | Tables The main landing and activation target for synced records. | |
| Views SQL views expose curated slices of data for outbound replication. | Views Modeled projections used as the source side of outbound syncs. | |
| Schemas Schema organization scopes which tables a sync connection can see. | Materialized Views Precomputed results synced outward for low-latency reads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InterSystems IRIS–Snowflake connection.
Changes in InterSystems IRIS or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever InterSystems IRIS or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single InterSystems IRIS or Snowflake record.
Track your InterSystems IRIS ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between InterSystems IRIS and Snowflake.
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.
Authenticate InterSystems IRIS and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the InterSystems IRIS and Snowflake 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between InterSystems IRIS and Snowflake: authenticate both systems, choose the objects to sync (such as InterSystems IRIS's Globals and Namespaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for InterSystems IRIS and Snowflake: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Snowflake and keep InterSystems IRIS focused on its operational workload.
InterSystems IRIS: SQL over JDBC/ODBC, plus object and REST access layers. Authentication: Database credentials. Snowflake: SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API. Authentication: Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles. Stacksync manages authentication, retries, and rate limits on both sides.
Snowflake: Streams expose row-level change records on a table, so downstream consumers can process only deltas rather than rescanning full tables. InterSystems IRIS: InterSystems positions IRIS as the successor to Caché, and it is widely deployed under healthcare and financial applications. Stacksync's field mapping accounts for these differences between InterSystems IRIS and Snowflake without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means InterSystems IRIS and Snowflake records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for InterSystems IRIS and Snowflake.