Real-time sync
Changes in SingleStore or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep SingleStore 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 SingleStore, so SingleStore 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 SingleStore 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 SingleStore as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Tableau sync into SingleStore 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 SingleStore, 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.
| SingleStore objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only projections used as curated 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. | |
| Databases The connection target containing the tables a sync addresses. | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Databases is specific to SingleStore and Fields and Columns to Tableau — each maps to any object or custom field on the other side. | |
| Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | 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 (rowstore and columnstore) is specific to SingleStore and Published Data Sources to Tableau — each maps to any object or custom field on the other side. | |
| Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. | Reference Tables is specific to SingleStore and Workbooks to Tableau — each maps to any object or custom field on the other side. | |
| Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Pipelines is specific to SingleStore and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Stored Procedures Existing logic sometimes invoked on write paths. | 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 SingleStore and Users 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.
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
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 SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SingleStore–Tableau connection.
Changes in SingleStore or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever SingleStore 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 SingleStore or Tableau record.
Track your SingleStore ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between SingleStore 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 SingleStore 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 SingleStore 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 SingleStore 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.
On the Tableau side: Fields and Columns, Published Data Sources, Workbooks, Views, plus custom fields where Tableau exposes them. On the SingleStore side: Views, Reference Tables, Pipelines, Stored Procedures. 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 SingleStore. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for SingleStore 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 SingleStore as they change, instead of going stale after a one-time import.
SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. 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: REST API calls are versioned (e.g. 3.x) and tied to the Tableau Server or Cloud release; older servers cap the available API version and endpoints. SingleStore: SingleStore is compatible with the MySQL wire protocol, so standard MySQL drivers and clients connect without modification. Stacksync's field mapping accounts for these differences between SingleStore and Tableau without custom code.
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 381 integrations available for SingleStore and Tableau.