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Database ⇄ Analytics

Amazon Aurora to Tableau integration — real-time data sync

Keep Amazon Aurora 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 Amazon Aurora and Tableau

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

Tableau is a read-only source: Stacksync reads its data in real time and delivers it into Amazon Aurora, so Amazon Aurora 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 Amazon Aurora 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-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • 04 Consolidate several Aurora clusters into one reporting database.

Common sync patterns

Filter and grouping dimensions kept fresh

Attributes teams slice by, such as plan, region, or account owner, stay current in Tableau because they sync from Amazon Aurora as they change, instead of going stale after a one-time import.

Where Tableau tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Tableau sync into Amazon Aurora 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 Amazon Aurora, where the services that read from the database act on them at query speed without calling the analytics API.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Tableau objects How this pairing syncs
Views Read-only query-backed sources for downstream syncs. 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.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. Columns and Data Types is specific to Amazon Aurora and Projects to Tableau — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. 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. Primary and Foreign Keys is specific to Amazon Aurora and Users to Tableau — each maps to any object or custom field on the other side.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. Read Replicas is specific to Amazon Aurora and Databases and Tables to Tableau — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. Databases is specific to Amazon Aurora and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. Schemas is specific to Amazon Aurora and Fields and Columns to Tableau — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora 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.

Amazon Aurora Tableau Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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 Amazon Aurora records.

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

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • 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 Amazon Aurora ⇄ Tableau

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Tableau record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Amazon Aurora and Tableau connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    Tableau connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora ⇄ 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
    Amazon Aurora Tableau
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Tableau integration FAQ

SECURITY

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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 366 integrations available for Amazon Aurora and Tableau.

Popular · 7 of 366
All Amazon Aurora integrations All Tableau integrations Browse all integrations
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