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Database ⇄ Business productivity

Google Cloud SQL to Microsoft Dynamics 365 integration — real-time, two-way sync

Keep Google Cloud SQL and Microsoft Dynamics 365 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 Google Cloud SQL and Microsoft Dynamics 365

Mirror Microsoft Dynamics 365's data into Google Cloud SQL 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 Dynamics 365 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 Google Cloud SQL.

Stacksync mirrors Activities, Custom Tables, Accounts, Contacts from Microsoft Dynamics 365 into Schemas, Tables, Rows, Views in Google Cloud SQL 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 Dynamics 365, so the tool and the database never disagree.

Common use cases

  • 01 Enrich leads from external data sources and write scores back onto Dynamics records.
  • 02 Two-way sync of accounts and contacts with a Postgres or SQL database so engineers query SQL while sales works in Dynamics.
  • 03 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 04 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.

Common sync patterns

Automate Microsoft Dynamics 365 from your codebase

Write to the synced tables in Google Cloud SQL and Stacksync propagates the change into Microsoft Dynamics 365, replacing custom integration code.

React to changes as they happen

Updates in Microsoft Dynamics 365 arrive as row changes in Google Cloud SQL, 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 Google Cloud SQL and Microsoft Dynamics 365

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 Microsoft Dynamics 365 objects How this pairing syncs
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Opportunities Pipeline records synced with forecasting, CPQ, and billing systems. Instances is specific to Google Cloud SQL and Opportunities to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Cases (Incidents) Support records shared with ticketing tools and product databases. Databases is specific to Google Cloud SQL and Cases (Incidents) to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Quotes, Orders & Invoices Transaction documents reconciled with the ERP or billing source of truth. Schemas is specific to Google Cloud SQL and Quotes, Orders & Invoices to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Products Catalog records aligned with ERP item masters. Tables is specific to Google Cloud SQL and Products to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. Activities Emails, calls, and tasks captured for engagement analytics. Rows is specific to Google Cloud SQL and Activities to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Views Read-only sources for shaping data before syncing it out. Custom Tables Dataverse tables that carry business-specific entities through the same API surface. Views is specific to Google Cloud SQL and Custom Tables to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and Microsoft Dynamics 365

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 Microsoft Dynamics 365 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 Microsoft Dynamics 365 through its API, with automatic retries and rate-limit backoff.

Microsoft Dynamics 365 Google Cloud SQL Sub-second propagation

DetectionMicrosoft Dynamics 365 pushes changes as they happen — webhook events backed by change data capture. Change data capture (CDC) via the Dynamics 365 Change Tracking feature.

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.
What ships with Google Cloud SQL ⇄ Microsoft Dynamics 365

Connect Google Cloud SQL and Microsoft Dynamics 365 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Microsoft Dynamics 365 connection.

Real-time

Two-way sync

Changes in Google Cloud SQL or Microsoft Dynamics 365 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 Microsoft Dynamics 365 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 Microsoft Dynamics 365 record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Microsoft Dynamics 365 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 Microsoft Dynamics 365.

How the Google Cloud SQL and Microsoft Dynamics 365 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.

Microsoft Dynamics 365

Integration surface
REST API (Dataverse Web API, OData v4); Finance & Operations apps expose a separate OData data-entity surface
Authentication
Microsoft OAuth sign-in: user provides the D365 environment URL, signs in with Microsoft credentials, and accepts the Stacksync app (permissions to read CRM data and interact with OData entities)
Change detection
Change data capture (CDC) via the Dynamics 365 Change Tracking feature; standard entities have change tracking enabled by default, custom entities require enabling "Track Changes" in Power Apps/Dataverse table properties
Capabilities
read · write · CDC · webhooks
Microsoft Dynamics 365 setup guide
How it works

How to connect Google Cloud SQL to Microsoft Dynamics 365 — 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 Microsoft Dynamics 365 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
    Microsoft Dynamics 365 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL and Microsoft Dynamics 365 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 ⇄ Microsoft Dynamics 365
    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 Microsoft Dynamics 365
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL and Microsoft Dynamics 365 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 442 integrations available for Google Cloud SQL and Microsoft Dynamics 365.

Popular · 8 of 442
All Google Cloud SQL integrations All Microsoft Dynamics 365 integrations Browse all integrations
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