Skip to content
Database ⇄ Analytics

Amazon Aurora to Microsoft Power Bi integration — real-time data sync

Keep Amazon Aurora and Microsoft Power Bi in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon Aurora and Microsoft Power Bi

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

Microsoft Power Bi 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 Microsoft Power Bi — 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. Microsoft Power Bi is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from Amazon Aurora into Microsoft Power Bi 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 Read Users and workspace access for periodic access reviews reconciled against an HR or Microsoft Entra ID source of record.
  • 02 Mirror Workspaces, Reports, Dashboards, and Dataset metadata into a catalog database so teams discover Power BI content from a central index.
  • 03 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • 04 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.

Common sync patterns

Filter and grouping dimensions kept fresh

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

Where Microsoft Power Bi tracks product events: behavior onto stored records

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

Where Microsoft Power Bi builds cohorts or scores: results your services can read

Segments, cohorts, or scores computed in Microsoft Power Bi 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 Microsoft Power Bi

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 Microsoft Power Bi objects How this pairing syncs
Tables Relational tables synced bi-directionally at row level. Workspaces (Groups) Containers for content read via GET /groups (tenant-wide via GET /admin/groups); mirrored to reproduce the tenant's content hierarchy in a catalog. Tables is specific to Amazon Aurora and Workspaces (Groups) to Microsoft Power Bi — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Activity Events (Audit Log) Admin audit log of user and content actions read via GET /admin/activityevents; loaded for security, access, and usage reporting across the tenant. Views is specific to Amazon Aurora and Activity Events (Audit Log) to Microsoft Power Bi — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Users and Access Workspace users and roles read via GET /groups/{id}/users or the admin scanner APIs; read for access reviews and identity reconciliation against an IdP. Materialized Views is specific to Amazon Aurora and Users and Access to Microsoft Power Bi — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Datasets (Semantic Models) Tabular models behind reports; their rows are read with DAX via POST datasets/{id}/executeQueries, and datasource and refresh metadata via REST list endpoints. Columns and Data Types is specific to Amazon Aurora and Datasets (Semantic Models) to Microsoft Power Bi — 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. Reports Report definitions and metadata read via GET /reports and per-workspace GET /groups/{id}/reports; enumerated to mirror the content inventory into a catalog. Primary and Foreign Keys is specific to Amazon Aurora and Reports to Microsoft Power Bi — 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. Dashboards and Tiles Dashboards and their pinned tiles read via GET /dashboards and /dashboards/{id}/tiles; inventoried to map dashboard content back to its source datasets. Read Replicas is specific to Amazon Aurora and Dashboards and Tiles to Microsoft Power Bi — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Microsoft Power Bi

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 Microsoft Power Bi 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.

DeliveryMicrosoft Power Bi does not accept inbound record writes, so this direction carries requests rather than records: Microsoft Power Bi's output flows back as field updates on the originating Amazon Aurora records.

Microsoft Power Bi Amazon Aurora Interval-based propagation

DetectionStacksync polls Microsoft Power Bi for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: no webhooks or change-data-capture.

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.
  • Microsoft Power Bi: Endpoints throttle per user and per app and return HTTP 429 with a Retry-After header. Execute Queries allows up to 120 requests per minute per user and caps a query at 100,000 rows (or 1,000,000 values) and 15 MB; admin scanner metadata APIs are limited to about 500 requests per hour with 16 concurrent.
What ships with Amazon Aurora ⇄ Microsoft Power Bi

Connect Amazon Aurora and Microsoft Power Bi for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Microsoft Power Bi 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 Microsoft Power Bi record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Microsoft Power Bi 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 Microsoft Power Bi.

How the Amazon Aurora and Microsoft Power Bi 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

Microsoft Power Bi

Integration surface
Power BI REST API, including the Execute Queries (DAX) endpoint and admin scanner APIs; a read-write XMLA endpoint is available on Premium, Premium-Per-User, and Fabric capacity.
Authentication
Microsoft Entra ID (Azure AD) OAuth 2.0 bearer tokens. Supports delegated user tokens and app-only service principals; service principals must be enabled under the tenant's Developer settings and granted workspace access. Tenant-wide admin reads require the Tenant.Read.All scope.
Change detection
Pull-based: no webhooks or change-data-capture. Content is polled via REST list endpoints, dataset changes are inferred from Refresh History and the admin Activity Events audit log, and the scanner API's GetModifiedWorkspaces reports workspaces changed since a given time.
Capabilities
read
Rate limits
Endpoints throttle per user and per app and return HTTP 429 with a Retry-After header. Execute Queries allows up to 120 requests per minute per user and caps a query at 100,000 rows (or 1,000,000 values) and 15 MB; admin scanner metadata APIs are limited to about 500 requests per hour with 16 concurrent.
How it works

How to connect Amazon Aurora to Microsoft Power Bi — 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 Microsoft Power Bi 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
    Microsoft Power Bi connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and Microsoft Power Bi 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 ⇄ Microsoft Power Bi
    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 Microsoft Power Bi
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon Aurora and Microsoft Power Bi 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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 Microsoft Power Bi.

Popular · 8 of 366
All Amazon Aurora integrations All Microsoft Power Bi integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own