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Database ⇄ Storage

PostgreSQL to Sharepoint integration — real-time, two-way sync

Keep PostgreSQL and Sharepoint 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 PostgreSQL and Sharepoint

Keep PostgreSQL and Sharepoint in step: a row in PostgreSQL for every file in Sharepoint, with names, paths, metadata, and status staying consistent in real time, in both directions.

A database holds structured records; a storage system holds the files those records depend on, such as contracts, images, exports, uploads, and documents. The two describe the same things from opposite sides: a row in PostgreSQL says a file exists and carries its name, location, and status, while Sharepoint holds the bytes. Linked only by a hand-kept path or a one-off script, the two drift the moment a file is renamed, moved, or deleted and the record still points at where it used to be.

Stacksync syncs Columns, Primary and Unique Keys, JSONB Columns, Sequences in PostgreSQL with Site pages, Sites, Lists, List items in Sharepoint bi-directionally and in real time. File attributes, including name, path or object key, size, type, modified time, owner, and tags or custom properties, map field by field to columns on the matching row, and a change on either side shows up on the other within seconds. New files appear as rows, metadata edits travel in the direction you choose, and deletes stay consistent, with conflict rules you set in place of nightly reconciliation scripts.

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 Mirror document-library drive items and their metadata into a store to index files for search and governance, and push generated documents back into the right library.
  • 04 Sync list columns and content types so database fields map onto SharePoint list fields and schema stays aligned as either side changes.

Common sync patterns

Continuous archival to file storage

Rows from PostgreSQL are written out to Sharepoint as files on a schedule or as they change, giving a durable, low-cost copy for backup, compliance, or a data lake, without a custom export job to maintain.

A queryable index of the file store

Every file or object in Sharepoint shows up as a row in PostgreSQL, with its name, folder or key, size, type, and modified date as columns, so the contents of the store can be listed, filtered, and joined like any other table.

File metadata kept in step

Tags, custom properties, owner, or status columns edited on a row in PostgreSQL write back to the matching file's metadata in Sharepoint, and metadata changed in Sharepoint updates the row, so the two never disagree about a file.

What you can sync between PostgreSQL and Sharepoint

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.

PostgreSQL objects Sharepoint objects How this pairing syncs
Materialized Views Precomputed result sets synced outward on a refresh schedule. List items Rows in a SharePoint list via /lists/{id}/items with a fields facet of column values; full create, read, update, and delete, synced two-way with database rows. Materialized Views is specific to PostgreSQL and List items to Sharepoint — each maps to any object or custom field on the other side.
Schemas Namespaces that scope which tables a sync reads and writes. Drive items (document libraries) Files and folders in a library's drive via /drives and /drive/root; upload, download, move, delete, and read per-item metadata, synced two-way with a store. Schemas is specific to PostgreSQL and Drive items (document libraries) to Sharepoint — each maps to any object or custom field on the other side.
Columns Field-level mapping targets; types are mapped to the connected system's field types. Columns and content types Field definitions and content types on a site or list; read the schema and create columns so database fields map cleanly onto SharePoint list fields. Columns is specific to PostgreSQL and Columns and content types to Sharepoint — each maps to any object or custom field on the other side.
Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Permissions and sharing Role assignments and sharing links on sites, list items, and drive items; read and written to manage access, requiring Sites.Manage.All or Sites.FullControl.All scopes. Primary and Unique Keys is specific to PostgreSQL and Permissions and sharing to Sharepoint — each maps to any object or custom field on the other side.
JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Site pages Modern site pages via /sites/{id}/pages; read page content, layout, and metadata for indexing and content governance. JSONB Columns is specific to PostgreSQL and Site pages to Sharepoint — each maps to any object or custom field on the other side.
Sequences Generate surrogate keys for rows created by inbound syncs. Sites SharePoint site collections and subsites via /sites; read site properties and discover the document libraries (drives) and lists each site contains, addressed by hostname and site path or site ID. Sequences is specific to PostgreSQL and Sites to Sharepoint — each maps to any object or custom field on the other side.

How changes propagate between PostgreSQL and Sharepoint

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.

PostgreSQL Sharepoint 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 Sharepoint through its API, with automatic retries and rate-limit backoff.

Sharepoint PostgreSQL Sub-second propagation

DetectionSharepoint notifies Stacksync of record changes through webhook events. Delta query (pull) tracks created, updated, and deleted list items (/lists/{id}/items/delta) and drive items (/drives/{id}/root/delta) since the last.

DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
  • Sharepoint: SharePoint Online throttles per app, returning HTTP 429 (or 503) with a Retry-After header in seconds and IETF RateLimit-Limit, RateLimit-Remaining, and RateLimit-Reset headers; throttled requests still count toward limits, so clients honor the greater of Retry-After and RateLimit-Reset with exponential backoff.
What ships with PostgreSQL ⇄ Sharepoint

Connect PostgreSQL and Sharepoint for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Sharepoint connection.

Real-time

Two-way sync

Changes in PostgreSQL or Sharepoint instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever PostgreSQL or Sharepoint 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 PostgreSQL or Sharepoint record.

Observability

Monitoring

Track your PostgreSQL ⇄ Sharepoint sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between PostgreSQL and Sharepoint.

How the PostgreSQL and Sharepoint connectors work

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
PostgreSQL setup guide

Sharepoint

Integration surface
Microsoft Graph REST API (graph.microsoft.com/v1.0 and beta) covering SharePoint sites, lists, list items, columns, content types, and document-library drives and drive items; plus the classic SharePoint REST API (_api/web) and CSOM. Supports Graph 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 Sites.Read.All, Sites.ReadWrite.All, Sites.Selected, Sites.Manage.All, or Sites.FullControl.All, plus Files.ReadWrite.All for drive content; application permissions require tenant admin consent.
Change detection
Delta query (pull) tracks created, updated, and deleted list items (/lists/{id}/items/delta) and drive items (/drives/{id}/root/delta) since the last deltaLink; change-notification subscriptions (push webhooks) POST near-real-time notifications for list and drive/root changes to a notification URL and must be renewed before they expire. Classic SharePoint list webhooks are also available.
Capabilities
read · write · webhooks
Rate limits
SharePoint Online throttles per app, returning HTTP 429 (or 503) with a Retry-After header in seconds and IETF RateLimit-Limit, RateLimit-Remaining, and RateLimit-Reset headers; throttled requests still count toward limits, so clients honor the greater of Retry-After and RateLimit-Reset with exponential backoff.
How it works

How to connect PostgreSQL to Sharepoint — 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 PostgreSQL and Sharepoint 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
    PostgreSQL connected
    Sharepoint connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the PostgreSQL and Sharepoint 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 · PostgreSQL ⇄ Sharepoint
    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
    PostgreSQL Sharepoint
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

PostgreSQL and Sharepoint 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
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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 536 integrations available for PostgreSQL and Sharepoint.

Popular · 7 of 536
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