Real-time sync
Changes in MotherDuck or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep MotherDuck 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 MotherDuck, so MotherDuck always reflects the current state of Tableau — without exports, scripts, or schedulers.
Tableau is where teams explore, visualize, and report; MotherDuck is the store of record that holds the raw tables and full history behind those views. The two overlap wherever the same events, users, and metrics matter to both, and when the bridge between them is a nightly export or a hand-built extract, dashboards lag the warehouse and analysts spend the morning arguing over whose number is right.
When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
Metrics and aggregates stay aligned between the two systems, so a figure shown in Tableau matches the MotherDuck table it was built from instead of drifting between refreshes.
Records maintained in MotherDuck flow into Tableau as they change, so dashboards and reports read current rows rather than an overnight extract.
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.
| MotherDuck objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views Modeled projections used as outbound sync sources. | 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 The main landing target for synced records and source for analysis. | 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 MotherDuck and Published Data Sources to Tableau — each maps to any object or custom field on the other side. | |
| Database Shares Read-only copies of a database shared with other users or teams. | Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. | Database Shares is specific to MotherDuck and Workbooks to Tableau — each maps to any object or custom field on the other side. | |
| Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Attached Local DuckDB Databases is specific to MotherDuck and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | 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. | Databases is specific to MotherDuck and Users to Tableau — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize synced tables. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Schemas is specific to MotherDuck 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 MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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 MotherDuck 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 MotherDuck as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MotherDuck–Tableau connection.
Changes in MotherDuck or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MotherDuck 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 MotherDuck or Tableau record.
Track your MotherDuck ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MotherDuck 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 MotherDuck 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 MotherDuck 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 MotherDuck 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.
Yes — Stacksync ships production-grade connectors for both MotherDuck and Tableau. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MotherDuck: Polling; no log-based CDC or webhook surface is exposed. 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: Extract Refresh Tasks, Fields and Columns, Published Data Sources, Workbooks, plus custom fields where Tableau exposes them. On the MotherDuck side: Database Shares, Attached Local DuckDB Databases, Databases, Schemas. 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 MotherDuck. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for MotherDuck and Tableau: Corrections propagate instead of reloading; One number both sides agree on; Where MotherDuck holds the source tables: live data in the reporting layer. When a record is fixed or backfilled on one side, the change reaches the other without a full reload, keeping history consistent across both.
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 381 integrations available for MotherDuck and Tableau.