Real-time sync
Changes in IBM Informix or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix 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 IBM Informix, so IBM Informix 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 IBM Informix 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.
Segments, cohorts, or scores computed in Tableau sync back into IBM Informix, where the services that read from the database act on them at query speed without calling the analytics API.
The users, events, orders, and records stored in IBM Informix land in Tableau as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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.
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.
| IBM Informix objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only projections used to shape outbound data. | 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. | |
| Databases Top-level containers that scope a sync connection. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Databases is specific to IBM Informix and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Tables Relational tables mapped directly to sync targets. | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Tables is specific to IBM Informix and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write, keyed by primary key. | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Rows is specific to IBM Informix and Fields and Columns to Tableau — each maps to any object or custom field on the other side. | |
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | 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. | TimeSeries objects is specific to IBM Informix and Published Data Sources to Tableau — each maps to any object or custom field on the other side. | |
| Stored procedures Server-side logic sometimes invoked as part of write paths. | Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. | Stored procedures is specific to IBM Informix and Workbooks 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.
DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
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 IBM Informix 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 IBM Informix as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Informix–Tableau connection.
Changes in IBM Informix or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix 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 IBM Informix or Tableau record.
Track your IBM Informix ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix 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 IBM Informix 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 IBM Informix 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 IBM Informix 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM Informix and Tableau connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Informix–Tableau integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Informix and Tableau. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Informix: Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback. On Tableau: Webhooks fire on workbook and data source create/update/delete and extract refresh events; otherwise content and metadata are polled via REST list endpoints (updatedAt) and the Metadata API. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Tableau side: Workbooks, Views, Projects, Users, plus custom fields where Tableau exposes them. On the IBM Informix side: TimeSeries objects, Stored procedures, Logical logs, Databases. Stacksync auto-detects both schemas and converts types between the two systems.
Tableau is a read-only source, so this integration runs one-way: Stacksync reads from Tableau in real time and delivers into IBM Informix. Field mapping and monitoring work the same as for two-way pairs.
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 388 integrations available for IBM Informix and Tableau.