Real-time sync
Changes in Scaleway Postgres or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep Scaleway Postgres 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 Scaleway Postgres, so Scaleway Postgres 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 Scaleway Postgres 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 Scaleway Postgres as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Tableau sync into Scaleway Postgres 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 Scaleway Postgres, 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.
| Scaleway Postgres objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only sources for shaping data before it leaves the database. | 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. | |
| Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Materialized views is specific to Scaleway Postgres and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables so multiple applications or environments can be synced selectively. | 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 Scaleway Postgres and Users to Tableau — each maps to any object or custom field on the other side. | |
| Sequences Generate primary keys; sync tooling must respect them when writing rows. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Sequences is specific to Scaleway Postgres and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Columns is specific to Scaleway Postgres and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Tables Primary sync unit; each table maps to an object or table on the other side of the 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. | Tables is specific to Scaleway Postgres 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 Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
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 Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Scaleway Postgres–Tableau connection.
Changes in Scaleway Postgres or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Scaleway Postgres 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 Scaleway Postgres or Tableau record.
Track your Scaleway Postgres ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Scaleway Postgres 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 Scaleway Postgres 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 Scaleway Postgres 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 Scaleway Postgres 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 Scaleway Postgres and Tableau connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Scaleway Postgres–Tableau integration in-house.
Yes — Stacksync ships production-grade connectors for both Scaleway Postgres and Tableau. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. 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 Scaleway Postgres side: Views, Materialized views, Schemas, Sequences. 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 Scaleway Postgres. 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 375 integrations available for Scaleway Postgres and Tableau.