Two-way sync
Changes in Azure Synapse Analytics or InterSystems IRIS instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want InterSystems IRIS's rows in Azure Synapse Analytics, 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 Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics 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 Azure Synapse Analytics and keep InterSystems IRIS focused on its operational workload.
Rows from InterSystems IRIS land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Azure Synapse Analytics 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.
| Azure Synapse Analytics objects | InterSystems IRIS objects | |
|---|---|---|
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Views SQL views expose curated slices of data for outbound replication. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Schemas Schema organization scopes which tables a sync connection can see. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Namespaces Namespaces partition databases and determine the connection context for integrations. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–InterSystems IRIS connection.
Changes in Azure Synapse Analytics or InterSystems IRIS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or InterSystems IRIS data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Synapse Analytics or InterSystems IRIS record.
Track your Azure Synapse Analytics ⇄ InterSystems IRIS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and InterSystems IRIS.
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 Azure Synapse Analytics 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.
Pick the Azure Synapse Analytics 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.
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 Azure Synapse Analytics and InterSystems IRIS: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's External tables and Views), 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 Azure Synapse Analytics and InterSystems IRIS: 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 Azure Synapse Analytics and keep InterSystems IRIS focused on its operational workload.
Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. InterSystems IRIS: SQL over JDBC/ODBC, plus object and REST access layers. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Azure Synapse Analytics: The serverless SQL pool queries files in the data lake directly, so some 'tables' a sync sees are projections over Parquet or CSV rather than managed storage. InterSystems IRIS: IRIS is multi-model: the same stored data can be accessed as relational tables via SQL, as persistent objects, and as multidimensional globals, so integrations usually standardize on the SQL projection. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics and InterSystems IRIS 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 Azure Synapse Analytics and InterSystems IRIS 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 Azure Synapse Analytics and InterSystems IRIS.