Real-time sync
Changes in Azure SQL Database or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database 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 Azure SQL Database, so Azure SQL Database 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 Azure SQL Database 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.
Signup, usage, and lifecycle events captured in Tableau sync into Azure SQL Database as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Segments, cohorts, or scores computed in Tableau sync back into Azure SQL Database, 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 Azure SQL Database land in Tableau as they change, so dashboards, funnels, and metrics run on current data instead of last night's 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.
| Azure SQL Database objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | 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. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | 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. | Schemas is specific to Azure SQL Database and Users to Tableau — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Rows and columns is specific to Azure SQL Database and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Stored procedures is specific to Azure SQL Database and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Change tracking / CDC tables is specific to Azure SQL Database and Fields and Columns to Tableau — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | 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 Azure SQL Database and Published Data Sources 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 Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
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 Azure SQL Database 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 Azure SQL Database as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Tableau connection.
Changes in Azure SQL Database or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database 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 Azure SQL Database or Tableau record.
Track your Azure SQL Database ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database 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 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 Azure SQL Database and Tableau records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure SQL Database and Tableau connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure SQL Database–Tableau integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure SQL Database and Tableau. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure SQL Database: Change data capture or change tracking, both supported on Azure SQL Database; 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: Extract Refresh Tasks, Fields and Columns, Published Data Sources, Workbooks, plus custom fields where Tableau exposes them. On the Azure SQL Database side: Stored procedures, Change tracking / CDC tables, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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 375 integrations available for Azure SQL Database and Tableau.