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Database ⇄ Business productivity

AWS Aurora PostgreSQL to Microsoft Teams integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Microsoft Teams 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

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Why teams connect AWS Aurora PostgreSQL and Microsoft Teams

Mirror Microsoft Teams's data into AWS Aurora PostgreSQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Microsoft Teams through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora PostgreSQL.

Stacksync mirrors Online Meetings, Tabs & Installed Apps, Teams, Channels from Microsoft Teams into Rows, Columns, Primary keys and constraints, Views and materialized views in AWS Aurora PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Microsoft Teams, so the tool and the database never disagree.

Common use cases

  • Sync team membership from HR or identity systems so channels match the org chart.
  • Route support case updates from the CRM into a triage channel for faster response.
  • Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • Feed operational dashboards from a read replica while the writer handles sync traffic.

Automate Microsoft Teams from your codebase

Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Microsoft Teams, replacing custom integration code.

React to changes as they happen

Updates in Microsoft Teams arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between AWS Aurora PostgreSQL and Microsoft Teams

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 PostgreSQL objects Microsoft Teams objects
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Channels Channel targets used for routing synced notifications and updates.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Channel Messages Posted messages read for archiving or written to broadcast record changes.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use.
Replication slots and publications The logical replication objects that power log-based CDC. Team Members & Users Membership synced with identity, HR, or CRM ownership data.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Online Meetings Meeting records synced with scheduling and CRM activity timelines.
Tables The core sync unit; rows are matched across systems by primary key. Tabs & Installed Apps App configuration read to audit or provision team workspaces.
What ships with AWS Aurora PostgreSQL ⇄ Microsoft Teams

Connect AWS Aurora PostgreSQL and Microsoft Teams for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Microsoft Teams connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Microsoft Teams 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 PostgreSQL or Microsoft Teams record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Microsoft Teams 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 PostgreSQL and Microsoft Teams.

How the AWS Aurora PostgreSQL and Microsoft Teams connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

Microsoft Teams

Integration surface
REST API (Microsoft Graph)
Authentication
OAuth 2.0 via Microsoft Entra ID; reading message content at scale requires Microsoft-approved protected-API access
Change detection
Graph change notifications (webhooks) for messages and membership; delta queries on some resources
Capabilities
read · write · webhooks
How it works

How to connect AWS Aurora PostgreSQL to Microsoft Teams — 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 PostgreSQL and Microsoft Teams 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 PostgreSQL connected
    Microsoft Teams connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Microsoft Teams 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 PostgreSQL ⇄ Microsoft Teams
    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 PostgreSQL Microsoft Teams
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Microsoft Teams integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for AWS Aurora PostgreSQL and Microsoft Teams.

Popular · 8 of 386
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