Real-time sync
Changes in InterSystems IRIS or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep InterSystems IRIS and Tableau in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Tableau is a read-only source: Stacksync reads its data in real time and delivers it into InterSystems IRIS, so InterSystems IRIS always reflects the current state of Tableau — without exports, scripts, or schedulers.
A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Tableau is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from InterSystems IRIS into Tableau usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.
A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
Attributes teams slice by, such as plan, region, or account owner, stay current in Tableau because they sync from InterSystems IRIS as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Tableau sync into InterSystems IRIS as rows, so applications and internal tools can read behavioral data next to the records they already keep.
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 | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views SQL views expose curated slices of data for outbound replication. | Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in the writable direction. | |
| Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. | Published Data Sources Published data sources (.tdsx); their underlying rows are read via the VizQL Data Service, and refresh state is tracked through content webhooks. | Tables is specific to InterSystems IRIS and Published Data Sources to Tableau — each maps to any object or custom field on the other side. | |
| Schemas Schema organization scopes which tables a sync connection can see. | Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. | Schemas is specific to InterSystems IRIS and Workbooks to Tableau — each maps to any object or custom field on the other side. | |
| Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Persistent Classes is specific to InterSystems IRIS and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. | Users Site users with site roles and group membership; read via REST for access reviews and to reconcile identities against an HR or IdP source. | Globals is specific to InterSystems IRIS and Users to Tableau — each maps to any object or custom field on the other side. | |
| Namespaces Namespaces partition databases and determine the connection context for integrations. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Namespaces is specific to InterSystems IRIS and Databases and Tables to Tableau — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls InterSystems IRIS for changes on an incremental schedule, reading only records changed since the previous pass. Polling (timestamp or query-based).
DeliveryTableau does not accept inbound record writes, so this direction carries requests rather than records: Tableau's output flows back as field updates on the originating InterSystems IRIS records.
DetectionTableau notifies Stacksync of record changes through webhook events. Webhooks fire on workbook and data source create/update/delete and extract refresh events.
DeliveryEach detected change is applied to InterSystems IRIS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InterSystems IRIS–Tableau connection.
Changes in InterSystems IRIS or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever InterSystems IRIS or Tableau 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 Tableau record.
Track your InterSystems IRIS ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between InterSystems IRIS and Tableau.
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 Tableau 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 Tableau 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 integration between InterSystems IRIS and Tableau — Tableau is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Tableau is a read-only source, so this integration runs one-way: Stacksync reads from Tableau in real time and delivers into InterSystems IRIS. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for InterSystems IRIS and Tableau: One version of each user or account; Filter and grouping dimensions kept fresh; Where Tableau tracks product events: behavior onto stored records. A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
InterSystems IRIS: SQL over JDBC/ODBC, plus object and REST access layers. Authentication: Database credentials. Tableau: REST API, Metadata API (GraphQL), and VizQL Data Service. Authentication: Sign-in via Personal Access Token (PAT) or username/password returns a credentials token sent as the X-Tableau-Auth header; Connected Apps issue JWTs for OAuth-style access. One active session per PAT. Stacksync manages authentication, retries, and rate limits on both sides.
Tableau: Webhooks cover a fixed set of workbook, data source, view, and admin events; there is no generic row-changed event, so underlying data changes are detected by re-querying. 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 Tableau 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 Tableau 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.
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Every pair below is a real-time, two-way sync. Search all 399 integrations available for InterSystems IRIS and Tableau.