Real-time
Two-way sync
Changes in Microsoft Teams or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Microsoft Teams to PostgreSQL integration — real-time, two-way sync
Keep Microsoft Teams and PostgreSQL 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 Microsoft Teams and PostgreSQL
Mirror Microsoft Teams's data into 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 PostgreSQL.
Stacksync mirrors Chats & Chat Messages, Team Members & Users, Online Meetings, Tabs & Installed Apps from Microsoft Teams into Materialized Views, Schemas, Columns, Primary and Unique Keys in 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
- 01 Post CRM deal-stage changes or new-lead alerts into a sales channel as they sync.
- 02 Notify an ops channel when a sync detects failed or conflicting records that need review.
- 03 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
- 04 Let an application write to its own database and have those rows appear as records in business systems in near real time
Common sync patterns
React to changes as they happen
Updates in Microsoft Teams arrive as row changes in 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.
Read Microsoft Teams with a query
Records from Microsoft Teams are ordinary rows in PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Microsoft Teams and PostgreSQL
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.
| Microsoft Teams objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Teams Team containers provisioned or read to mirror org and project structure. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Teams is specific to Microsoft Teams and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Channels Channel targets used for routing synced notifications and updates. | Schemas Namespaces that scope which tables a sync reads and writes. | Channels is specific to Microsoft Teams and Schemas to PostgreSQL — each maps to any object or custom field on the other side. | |
| Channel Messages Posted messages read for archiving or written to broadcast record changes. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | Channel Messages is specific to Microsoft Teams and Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Chats & Chat Messages is specific to Microsoft Teams and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side. | |
| Team Members & Users Membership synced with identity, HR, or CRM ownership data. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Team Members & Users is specific to Microsoft Teams and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Online Meetings Meeting records synced with scheduling and CRM activity timelines. | Sequences Generate surrogate keys for rows created by inbound syncs. | Online Meetings is specific to Microsoft Teams and Sequences to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Microsoft Teams and PostgreSQL
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.
Microsoft Teams PostgreSQL Sub-second propagation
DetectionMicrosoft Teams notifies Stacksync of record changes through webhook events. Graph change notifications (webhooks) for messages and membership.
DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL Microsoft Teams Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
DeliveryEach detected change is written to Microsoft Teams through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Microsoft Teams ⇄ PostgreSQL
Connect Microsoft Teams and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Teams–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Microsoft Teams or PostgreSQL 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 Microsoft Teams or PostgreSQL record.
Observability
Monitoring
Track your Microsoft Teams ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Microsoft Teams and PostgreSQL.
How the Microsoft Teams and PostgreSQL connectors work
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
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Microsoft Teams to PostgreSQL — 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.
- 01
Connect your apps
Authenticate Microsoft Teams and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Microsoft Teams
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Microsoft Teams and PostgreSQL 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.
objects · Microsoft Teams ⇄ PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Microsoft Teams PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Microsoft Teams and PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Microsoft Teams and PostgreSQL: authenticate both systems, choose the objects to sync (such as Microsoft Teams's Teams and Channels), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Microsoft Teams and PostgreSQL: React to changes as they happen; One integration pattern for the whole stack; Read Microsoft Teams with a query. Updates in Microsoft Teams arrive as row changes in PostgreSQL, so triggers, jobs, and services can respond in near real time.
-
Microsoft Teams: REST API (Microsoft Graph). Authentication: OAuth 2.0 via Microsoft Entra ID; reading message content at scale requires Microsoft-approved protected-API access. PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Stacksync manages authentication, retries, and rate limits on both sides.
-
Microsoft Teams: Simple outbound notification into a channel can be done with webhook-style connectors or workflows without a full Graph integration. PostgreSQL: INSERT ... ON CONFLICT gives native upsert semantics, which makes inbound syncs idempotent against primary or unique keys. Stacksync's field mapping accounts for these differences between Microsoft Teams and PostgreSQL without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Microsoft Teams and PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Microsoft Teams and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Microsoft Teams–PostgreSQL integration in-house.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 484 integrations available for Microsoft Teams and PostgreSQL.
Popular · 5 of 484
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No integrations match .
