Real-time sync
Changes in Google Cloud Spanner or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Spanner 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 Google Cloud Spanner, so Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner, 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 Google Cloud Spanner 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.
| Google Cloud Spanner objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only projections useful for shaping data before it leaves Spanner. | 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 schema and sync configuration. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Databases is specific to Google Cloud Spanner and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Tables Relational tables mapped one-to-one to sync targets. | 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. | Tables is specific to Google Cloud Spanner and Users to Tableau — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write in each sync cycle, keyed by primary key. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Rows is specific to Google Cloud Spanner and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Interleaved tables Child rows physically co-located with parents; synced as related records. | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Interleaved tables is specific to Google Cloud Spanner and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Secondary indexes Used to make incremental read queries efficient on non-key columns. | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Secondary indexes is specific to Google Cloud Spanner 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 Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
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 Google Cloud Spanner 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 Google Cloud Spanner as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Spanner–Tableau connection.
Changes in Google Cloud Spanner or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Spanner 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 Google Cloud Spanner or Tableau record.
Track your Google Cloud Spanner ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner and Tableau. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. 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: Databases and Tables, Extract Refresh Tasks, Fields and Columns, Published Data Sources, plus custom fields where Tableau exposes them. On the Google Cloud Spanner side: Secondary indexes, Change streams, Views, 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 Google Cloud Spanner. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Google Cloud Spanner and Tableau: Where Tableau builds cohorts or scores: results your services can read; Analytics on live operational data, minus the pipeline; One version of each user or account. Segments, cohorts, or scores computed in Tableau sync back into Google Cloud Spanner, where the services that read from the database act on them at query speed without calling the analytics API.
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 359 integrations available for Google Cloud Spanner and Tableau.