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Data warehouse ⇄ ERP

BigQuery to Dynamics 365 F&O integration — real-time, two-way sync

Keep BigQuery and Dynamics 365 F&O 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 BigQuery and Dynamics 365 F&O

Put Dynamics 365 F&O's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Dynamics 365 F&O can use them.

Teams sync Dynamics 365 F&O with BigQuery to make ERP transactions available for warehouse-scale analytics. Sales Orders, Purchase Orders, and Customer Invoices replicate into BigQuery Datasets, giving analysts fulfillment and finance truth without querying the ERP directly.

Stacksync syncs General Journal Entries, On-hand Inventory, Customers, Vendors from Dynamics 365 F&O into tables in BigQuery continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in BigQuery can be written back to fields in Dynamics 365 F&O where that is useful.

Common use cases

  • 01 Analyze Customer and Sales Order history at scale in BigQuery without loading the Dynamics 365 F&O instance.
  • 02 Track vendor spend by joining Purchase Orders to Vendor records within one BigQuery Project.
  • 03 Feed demand forecasting models from Released Products and Sales Orders kept current in BigQuery Tables.
  • 04 Feed ML feature tables in BigQuery from operational systems on a continuous schedule

Common sync patterns

Order-to-cash analytics

Dynamics 365 F&O Sales Orders and Customer Invoices replicate into partitioned BigQuery Tables for revenue reporting.

Procurement analysis

Purchase Orders and Vendor records sync to a BigQuery Dataset for spend and supplier reporting.

Product master in the warehouse

Released Products replicate into clustered BigQuery Tables joined against sales history.

What you can sync between BigQuery and Dynamics 365 F&O

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.

BigQuery objects Dynamics 365 F&O objects How this pairing syncs
Partitioned tables Synced like regular tables; partition columns map to target fields. General Journal Entries GL postings; read-only extracts for consolidated finance reporting. Partitioned tables is specific to BigQuery and General Journal Entries to Dynamics 365 F&O — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. On-hand Inventory Stock positions; read out to storefronts and internal apps for availability. Clustered tables is specific to BigQuery and On-hand Inventory to Dynamics 365 F&O — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Customers Customer master records; kept aligned with CRM accounts in two-way syncs. Datasets is specific to BigQuery and Customers to Dynamics 365 F&O — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Vendors Supplier master records; synced with procurement and AP tools. Projects is specific to BigQuery and Vendors to Dynamics 365 F&O — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Released Products Sellable product master; read out to commerce channels and CRM catalogs. Tables is specific to BigQuery and Released Products to Dynamics 365 F&O — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Dynamics 365 F&O

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.

BigQuery Dynamics 365 F&O Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Dynamics 365 F&O through its API, with automatic retries and rate-limit backoff.

Dynamics 365 F&O BigQuery Sub-second propagation

DetectionDynamics 365 F&O pushes changes as they happen — webhook events backed by change data capture. Change data capture via the Dynamics 365 Change Tracking feature, enabled per entity.

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

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • Dynamics 365 F&O: OData requests are subject to platform throttling; high-volume loads belong in the Data Management Framework.
What ships with BigQuery ⇄ Dynamics 365 F&O

Connect BigQuery and Dynamics 365 F&O for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Dynamics 365 F&O connection.

Real-time

Two-way sync

Changes in BigQuery or Dynamics 365 F&O instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Dynamics 365 F&O 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 BigQuery or Dynamics 365 F&O record.

Observability

Monitoring

Track your BigQuery ⇄ Dynamics 365 F&O sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Dynamics 365 F&O.

How the BigQuery and Dynamics 365 F&O connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Dynamics 365 F&O

Integration surface
OData REST endpoint over data entities, plus the Data Management Framework for batch
Authentication
OAuth via Microsoft sign-in: provide the D365 F&O environment URL, sign in with Microsoft credentials, and grant the Stacksync app consent (admin consent may be required — "Need admin approval for this app")
Change detection
Change data capture via the Dynamics 365 Change Tracking feature, enabled per entity; falls back to periodic full-sync where change tracking is unavailable
Capabilities
read · write · CDC · webhooks
Rate limits
OData requests are subject to platform throttling; high-volume loads belong in the Data Management Framework.
Dynamics 365 F&O setup guide
How it works

How to connect BigQuery to Dynamics 365 F&O — 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 BigQuery and Dynamics 365 F&O 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
    BigQuery connected
    Dynamics 365 F&O connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and Dynamics 365 F&O 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 · BigQuery ⇄ Dynamics 365 F&O
    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
    BigQuery Dynamics 365 F&O
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Dynamics 365 F&O 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.

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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 450 integrations available for BigQuery and Dynamics 365 F&O.

Popular · 7 of 450
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