Two-way sync
Changes in Google Cloud Platform or InterSystems IRIS instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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 Google Cloud Platform, 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 Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into InterSystems IRIS, with schema and type mapping between the two systems handled for you.
Rows from InterSystems IRIS land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Google Cloud Platform sync into InterSystems IRIS, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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.
| Google Cloud Platform objects | InterSystems IRIS objects | |
|---|---|---|
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Namespaces Namespaces partition databases and determine the connection context for integrations. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Views SQL views expose curated slices of data for outbound replication. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–InterSystems IRIS connection.
Changes in Google Cloud Platform or InterSystems IRIS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform 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 Google Cloud Platform or InterSystems IRIS record.
Track your Google Cloud Platform ⇄ InterSystems IRIS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform and InterSystems IRIS: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Spanner tables and BigQuery datasets), 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 Google Cloud Platform and InterSystems IRIS: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from InterSystems IRIS land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. 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.
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. InterSystems IRIS: Standard JDBC and ODBC drivers are available, which lets IRIS participate in database-style sync pipelines without a vendor-specific client. Stacksync's field mapping accounts for these differences between Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform and InterSystems IRIS.