Real-time sync
Changes in Tableau or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Tableau and TimescaleDB 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 TimescaleDB, so TimescaleDB 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 TimescaleDB 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.
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.
Attributes teams slice by, such as plan, region, or account owner, stay current in Tableau because they sync from TimescaleDB as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Tableau sync into TimescaleDB as rows, so applications and internal tools can read behavioral data next to the records they already keep.
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.
| Tableau objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. | Views Standard SQL views used to shape or filter data for consumers. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in the writable direction. | |
| Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Workbooks is specific to Tableau and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Projects is specific to Tableau and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Users is specific to Tableau and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Databases and Tables is specific to Tableau and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Extract Refresh Tasks is specific to Tableau and Hypertables to TimescaleDB — 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.
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 TimescaleDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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 TimescaleDB records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Tableau–TimescaleDB connection.
Changes in Tableau or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Tableau or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Tableau or TimescaleDB record.
Track your Tableau ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Tableau and TimescaleDB.
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 Tableau and TimescaleDB 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 Tableau and TimescaleDB 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 Tableau and TimescaleDB — 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 TimescaleDB. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Tableau and TimescaleDB: One version of each user or account; Filter and grouping dimensions kept fresh; Where Tableau tracks product events: behavior onto stored records. 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.
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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Tableau: The Metadata API (Catalog) requires Tableau Cloud, or Tableau Server with the Data Management license and Catalog enabled; without it, external assets like databases and tables are not indexed. TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Stacksync's field mapping accounts for these differences between Tableau and TimescaleDB 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 Tableau and TimescaleDB 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 361 integrations available for Tableau and TimescaleDB.