Two-way sync
Changes in Cloudera Data Platform or InterSystems IRIS instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data 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 Cloudera Data 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 Cloudera Data Platform in real time, and result tables in Cloudera Data Platform 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 Cloudera Data Platform and keep InterSystems IRIS focused on its operational workload.
Rows from InterSystems IRIS land in Cloudera Data Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Cloudera Data Platform 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.
| Cloudera Data Platform objects | InterSystems IRIS objects | |
|---|---|---|
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Namespaces Namespaces partition databases and determine the connection context for integrations. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Views SQL views expose curated slices of data for outbound replication. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Schemas Schema organization scopes which tables a sync connection can see. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–InterSystems IRIS connection.
Changes in Cloudera Data Platform or InterSystems IRIS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data 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 Cloudera Data Platform or InterSystems IRIS record.
Track your Cloudera Data Platform ⇄ InterSystems IRIS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data 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 Cloudera Data 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 Cloudera Data 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 Cloudera Data Platform and InterSystems IRIS: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Hive tables and Impala tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. 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 Cloudera Data 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 Cloudera Data Platform and InterSystems IRIS records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and InterSystems IRIS connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–InterSystems IRIS integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and InterSystems IRIS. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On InterSystems IRIS: Polling (timestamp or query-based); no standard webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Cloudera Data Platform and InterSystems IRIS.