Real-time
Two-way sync
Changes in Microsoft Graph or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Microsoft Graph to PostgreSQL integration — real-time, two-way sync
Keep Microsoft Graph 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.
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Why teams connect Microsoft Graph and PostgreSQL
Keep PostgreSQL and Microsoft Graph in step: the rows in your database and the Calendar events, Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats your engineering tools track stay consistent in real time, in both directions.
PostgreSQL is where your application's durable data lives; Microsoft Graph is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums in PostgreSQL with Calendar events, Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats in Microsoft Graph field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Let an application write to its own database and have those rows appear as records in business systems in near real time
- 02 Consolidate data from several microservice databases into one operational Postgres store
- 03 Send Outlook mail through the sendMail action when a database or CRM record changes, then read replies back onto the same record.
- 04 Mirror OneDrive and SharePoint drive items into a data store to index documents and their metadata for search and governance.
Common sync patterns
React to changes on either side in near real time
Updates in Microsoft Graph arrive as row changes in PostgreSQL, and writes to PostgreSQL propagate to Microsoft Graph within seconds, so triggers, jobs, and alerts fire without polling.
Where Microsoft Graph manages users or groups: keep identity aligned
Directory and identity records in Microsoft Graph stay matched to the users or owners table in PostgreSQL, so provisioning and de-provisioning flow from one source.
Turn rows into the records your tools track
A new or changed row in PostgreSQL creates or updates the matching record in Microsoft Graph, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
What you can sync between Microsoft Graph 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 Graph objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Contacts Personal Outlook contacts via /users/{id}/contacts; full create, read, update, delete, synced two-way with CRM person records. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Contacts is specific to Microsoft Graph and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side. | |
| Drive items (OneDrive & SharePoint) Files and folders via /drives and /me/drive; read and write items, upload and download content, and read per-item metadata. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Drive items (OneDrive & SharePoint) is specific to Microsoft Graph and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Teams messages and chats Channel messages and chats via /teams/{id}/channels and /chats; read message history and post new messages for alerts and archiving. | Sequences Generate surrogate keys for rows created by inbound syncs. | Teams messages and chats is specific to Microsoft Graph and Sequences to PostgreSQL — each maps to any object or custom field on the other side. | |
| Planner tasks Plans, buckets, and tasks via /planner; read and write task status, assignments, and due dates to keep project state in sync. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | Planner tasks is specific to Microsoft Graph and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side. | |
| Users Entra ID user accounts read and written via /users; create, update profile attributes, and enable or disable accounts with User.ReadWrite.All. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Users is specific to Microsoft Graph and Tables to PostgreSQL — each maps to any object or custom field on the other side. | |
| Groups and memberships Microsoft 365 and security groups via /groups; read and write name, owners, and add/remove members, with membership deltas surfaced by delta query. | Views Read-side projections used to expose joined or filtered data to a sync. | Groups and memberships is specific to Microsoft Graph and Views to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Microsoft Graph 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 Graph PostgreSQL Sub-second propagation
DetectionMicrosoft Graph notifies Stacksync of record changes through webhook events. Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and.
DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL Microsoft Graph 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 Graph through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Microsoft Graph: Throttled per app and per tenant, returning HTTP 429 with a Retry-After header; limits vary by service — the Outlook mail service allows about 10,000 requests per 10 minutes per app per mailbox with up to 4 concurrent requests, and delta and subscription tokens expire and must be renewed.
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Microsoft Graph ⇄ PostgreSQL
Connect Microsoft Graph and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Graph–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Microsoft Graph 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 Graph or PostgreSQL record.
Observability
Monitoring
Track your Microsoft Graph ⇄ 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 Graph and PostgreSQL.
How the Microsoft Graph and PostgreSQL connectors work
Microsoft Graph
- Integration surface
- Microsoft Graph unified REST API (v1.0 and beta) at graph.microsoft.com, spanning Microsoft 365 services — Entra ID, Outlook mail and calendar, OneDrive and SharePoint, Teams, and Planner; supports JSON $batch (up to 20 requests per call).
- Authentication
- OAuth 2.0 via the Microsoft identity platform (Microsoft Entra ID). An app registration holds delegated or application (app-only) scopes such as Mail.ReadWrite, Calendars.ReadWrite, Files.ReadWrite.All, User.ReadWrite.All, and Group.ReadWrite.All; application permissions require tenant admin consent.
- Change detection
- Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and driveItems; change-notification subscriptions (webhooks) POST near-real-time notifications to a notification URL and must be renewed before they expire.
- Capabilities
- read · write · webhooks
- Rate limits
- Throttled per app and per tenant, returning HTTP 429 with a Retry-After header; limits vary by service — the Outlook mail service allows about 10,000 requests per 10 minutes per app per mailbox with up to 4 concurrent requests, and delta and subscription tokens expire and must be renewed.
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 Graph 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 Graph 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 Graph
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Microsoft Graph 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 Graph ⇄ 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 Graph PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Microsoft Graph and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Microsoft Graph and PostgreSQL: authenticate both systems, choose the objects to sync (such as Microsoft Graph's Contacts and Drive items (OneDrive & SharePoint)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Microsoft Graph and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Microsoft Graph: Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and driveItems; change-notification subscriptions (webhooks) POST near-real-time notifications to a notification URL and must be renewed before they expire. On PostgreSQL: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the PostgreSQL side: Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums, plus custom fields where PostgreSQL exposes them. On the Microsoft Graph side: Calendar events, Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Microsoft Graph and PostgreSQL: React to changes on either side in near real time; Where Microsoft Graph manages users or groups: keep identity aligned; Turn rows into the records your tools track. Updates in Microsoft Graph arrive as row changes in PostgreSQL, and writes to PostgreSQL propagate to Microsoft Graph within seconds, so triggers, jobs, and alerts fire without polling.
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 357 integrations available for Microsoft Graph and PostgreSQL.
Popular · 5 of 357
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Microsoft Graph ⇄ InfluxDB -
PostgreSQL ⇄ Google Pubsub -
PostgreSQL ⇄ Ldap -
PostgreSQL ⇄ Jms -
PostgreSQL ⇄ Newrelic
No integrations match .
