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Database ⇄ Analytics

AWS Aurora MySQL to Tableau integration — real-time data sync

Keep AWS Aurora MySQL 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and Tableau

Give Tableau the users, events, and records that live in AWS Aurora MySQL in real time, and sync the cohorts and scores Tableau computes back into AWS Aurora MySQL where your applications read them.

Tableau is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora MySQL, so AWS Aurora MySQL 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 AWS Aurora MySQL 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.

Common use cases

  • 01 Track Extract Refresh Tasks and DatasourceRefreshFailed webhook events to raise alerts in a database or ticketing system when refreshes fail.
  • 02 Read site Users and their site roles for periodic access reviews and to reconcile Tableau accounts against an HR or IdP source of record.
  • 03 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 04 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.

Common sync patterns

Where Tableau tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Tableau sync into AWS Aurora MySQL as rows, so applications and internal tools can read behavioral data next to the records they already keep.

Where Tableau builds cohorts or scores: results your services can read

Segments, cohorts, or scores computed in Tableau sync back into AWS Aurora MySQL, where the services that read from the database act on them at query speed without calling the analytics API.

Analytics on live operational data, minus the pipeline

The users, events, orders, and records stored in AWS Aurora MySQL land in Tableau as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.

What you can sync between AWS Aurora MySQL and Tableau

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.

AWS Aurora MySQL objects Tableau objects How this pairing syncs
Views Can serve as read-only sync sources for derived or filtered datasets. 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.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. 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 and triggers is specific to AWS Aurora MySQL and Users to Tableau — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. Databases (schemas) is specific to AWS Aurora MySQL and Databases and Tables to Tableau — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. Tables is specific to AWS Aurora MySQL and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. Rows is specific to AWS Aurora MySQL and Fields and Columns to Tableau — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. 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. Columns is specific to AWS Aurora MySQL and Published Data Sources to Tableau — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and Tableau

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.

AWS Aurora MySQL Tableau Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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 AWS Aurora MySQL records.

Tableau AWS Aurora MySQL Sub-second propagation

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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Tableau: Tableau Cloud enforces per-site REST rate limits and returns HTTP 429; a PAT allows only one concurrent session and expires after 15 consecutive days of non-use.
What ships with AWS Aurora MySQL ⇄ Tableau

Connect AWS Aurora MySQL and Tableau for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Tableau connection.

Real-time

Real-time sync

Changes in AWS Aurora MySQL or Tableau instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or Tableau data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single AWS Aurora MySQL or Tableau record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Tableau sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Tableau.

How the AWS Aurora MySQL and Tableau connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

Tableau

Integration surface
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.
Change detection
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.
Capabilities
read · webhooks
Rate limits
Tableau Cloud enforces per-site REST rate limits and returns HTTP 429; a PAT allows only one concurrent session and expires after 15 consecutive days of non-use.
How it works

How to connect AWS Aurora MySQL to Tableau — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate AWS Aurora MySQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    Tableau connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ Tableau
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora MySQL Tableau
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Tableau integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 382 integrations available for AWS Aurora MySQL and Tableau.

Popular · 8 of 382
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