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Database ⇄ Storage

Google Cloud SQL to Sharepoint integration — real-time, two-way sync

Keep Google Cloud SQL 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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Why teams connect Google Cloud SQL and Sharepoint

Keep Google Cloud SQL and Sharepoint in step: a row in Google Cloud SQL 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 Google Cloud SQL 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 Schemas, Tables, Rows, Views in Google Cloud SQL with Columns and content types, Permissions and sharing, Site pages, Sites 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 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 02 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 03 Stream list and library changes through delta query and change-notification webhooks into a warehouse for audit, access-review, and reporting.
  • 04 Two-way sync SharePoint List items with a database table so internal apps read and write structured records in SQL without calling the SharePoint API directly.

Common sync patterns

Continuous archival to file storage

Rows from Google Cloud SQL 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 Google Cloud SQL, 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 Google Cloud SQL 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 Google Cloud SQL 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.

Google Cloud SQL objects Sharepoint objects How this pairing syncs
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. 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. Transaction logs is specific to Google Cloud SQL and Drive items (document libraries) to Sharepoint — each maps to any object or custom field on the other side.
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. 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. Instances is specific to Google Cloud SQL and Columns and content types to Sharepoint — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. 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. Databases is specific to Google Cloud SQL and Permissions and sharing to Sharepoint — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Site pages Modern site pages via /sites/{id}/pages; read page content, layout, and metadata for indexing and content governance. Schemas is specific to Google Cloud SQL and Site pages to Sharepoint — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. 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. Tables is specific to Google Cloud SQL and Sites to Sharepoint — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. Lists Custom lists and libraries via /sites/{id}/lists; create and read lists along with their columns and content types so a target system can mirror or provision list definitions. Rows is specific to Google Cloud SQL and Lists to Sharepoint — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL 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.

Google Cloud SQL Sharepoint Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

DeliveryEach detected change is written to Sharepoint through its API, with automatic retries and rate-limit backoff.

Sharepoint Google Cloud SQL 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 Google Cloud SQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • 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 Google Cloud SQL ⇄ Sharepoint

Connect Google Cloud SQL and Sharepoint for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud SQL 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 Google Cloud SQL or Sharepoint record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Sharepoint.

How the Google Cloud SQL and Sharepoint connectors work

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

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 Google Cloud SQL 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 Google Cloud SQL 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
    Google Cloud SQL connected
    Sharepoint connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL 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 · Google Cloud SQL ⇄ 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
    Google Cloud SQL Sharepoint
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL 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
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 426 integrations available for Google Cloud SQL and Sharepoint.

Popular · 7 of 426
All Google Cloud SQL integrations All Sharepoint integrations Browse all integrations
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