Real-time sync
Changes in SQL Server or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep SQL Server 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 SQL Server, so SQL Server 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 SQL Server 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.
Attributes teams slice by, such as plan, region, or account owner, stay current in Tableau because they sync from SQL Server as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Tableau sync into SQL Server 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 SQL Server, where the services that read from the database act on them at query speed without calling the analytics API.
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.
| SQL Server objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-side 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. | |
| CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | CDC Change Tables is specific to SQL Server and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Stored Procedures T-SQL logic that can validate or post-process synced rows. | 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. | Stored Procedures is specific to SQL Server and Users to Tableau — each maps to any object or custom field on the other side. | |
| Databases Instance-level databases that scope a sync's reads and writes. | 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 SQL Server and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (dbo and custom) used to organize synced tables. | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Schemas is specific to SQL Server and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map to records in connected systems. | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Tables is specific to SQL Server and Fields and Columns 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 SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
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 SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SQL Server–Tableau connection.
Changes in SQL Server or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever SQL Server 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 SQL Server or Tableau record.
Track your SQL Server ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between SQL Server 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 SQL Server 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 SQL Server 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 SQL Server 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 SQL Server. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for SQL Server and Tableau: Filter and grouping dimensions kept fresh; Where Tableau tracks product events: behavior onto stored records; Where Tableau builds cohorts or scores: results your services can read. Attributes teams slice by, such as plan, region, or account owner, stay current in Tableau because they sync from SQL Server as they change, instead of going stale after a one-time import.
SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. 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. SQL Server: Change Tracking is a lower-overhead alternative that records which rows changed, but not intermediate values, so it suits net-change syncs. Stacksync's field mapping accounts for these differences between SQL Server 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 SQL Server 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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 471 integrations available for SQL Server and Tableau.