Real-time
Two-way sync
Changes in BigQuery or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
BigQuery to Microsoft Dynamics 365 Sales integration — real-time, two-way sync
Keep BigQuery and Microsoft Dynamics 365 Sales 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect BigQuery and Microsoft Dynamics 365 Sales
Sync Microsoft Dynamics 365 Sales into BigQuery continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
Sales operations teams sync Microsoft Dynamics 365 Sales with BigQuery to analyze the pipeline outside CRM report limits and feed model output back to sellers. Accounts, Opportunities, and Leads replicate into BigQuery Tables, and segments or scores computed in the warehouse write back to the CRM records.
Stacksync does both with one connection. Activities, Custom Tables, Accounts, Contacts from Microsoft Dynamics 365 Sales land in BigQuery as live tables, updated within seconds, and columns computed in BigQuery write back to fields in Microsoft Dynamics 365 Sales. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- 01 Track Opportunity stage aging across regions with SQL on clustered BigQuery Tables.
- 02 Push warehouse-built account segments onto Dynamics 365 Accounts for territory planning.
- 03 Compare Quotes to closed Orders in BigQuery to audit discount policy compliance.
- 04 Run a two-way dual-run between Dynamics and another CRM during a migration.
Common sync patterns
Pipeline warehouse
Dynamics 365 Opportunities and Accounts sync to partitioned BigQuery Tables for win-rate and velocity analysis.
Lead scoring loop
scores computed in a BigQuery Dataset update Dynamics 365 Lead records for routing.
Quote-to-order tracking
Quotes and Orders land in BigQuery to measure discounting and conversion.
What you can sync between BigQuery and Microsoft Dynamics 365 Sales
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 | Microsoft Dynamics 365 Sales objects | How this pairing syncs | |
|---|---|---|---|
| Clustered tables Supported; clustering is transparent to the sync. | Invoices Billing records; usually mastered in the ERP and mirrored back for seller visibility. | Clustered tables is specific to BigQuery and Invoices to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Activities Emails, calls, appointments, and tasks; read out for activity analytics. | Datasets is specific to BigQuery and Activities to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Projects Connection scope: the service account grants access per project. | Custom Tables Tenant-defined Dataverse tables; exposed through the same Web API as standard tables. | Projects is specific to BigQuery and Custom Tables to Microsoft Dynamics 365 Sales — 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. | Accounts Company records in Dataverse; the usual anchor for two-way sync with databases and ERPs. | Tables is specific to BigQuery and Accounts to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Contacts Person records linked to accounts; synced with marketing and support systems. | Partitioned tables is specific to BigQuery and Contacts to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. |
How changes propagate between BigQuery and Microsoft Dynamics 365 Sales
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 Microsoft Dynamics 365 Sales 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 Microsoft Dynamics 365 Sales through its API, with automatic retries and rate-limit backoff.
Microsoft Dynamics 365 Sales BigQuery Sub-second propagation
DetectionMicrosoft Dynamics 365 Sales notifies Stacksync of record changes through webhook events. Dataverse change tracking with delta tokens, plus registered webhooks on table events.
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.
- Microsoft Dynamics 365 Sales: Requests are governed by Dataverse service protection limits evaluated per user and time window.
What ships with BigQuery ⇄ Microsoft Dynamics 365 Sales
Connect BigQuery and Microsoft Dynamics 365 Sales for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Microsoft Dynamics 365 Sales connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or Microsoft Dynamics 365 Sales 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 Microsoft Dynamics 365 Sales record.
Observability
Monitoring
Track your BigQuery ⇄ Microsoft Dynamics 365 Sales 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 Microsoft Dynamics 365 Sales.
How the BigQuery and Microsoft Dynamics 365 Sales 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
Microsoft Dynamics 365 Sales
- Integration surface
- Dataverse Web API (OData v4 REST)
- Authentication
- OAuth 2.0 via Microsoft Entra ID
- Change detection
- Dataverse change tracking with delta tokens, plus registered webhooks on table events
- Capabilities
- read · write · webhooks
- Rate limits
- Requests are governed by Dataverse service protection limits evaluated per user and time window.
How it works
How to connect BigQuery to Microsoft Dynamics 365 Sales — 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 BigQuery and Microsoft Dynamics 365 Sales with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
BigQuery
connected
Microsoft Dynamics 365 Sales
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and Microsoft Dynamics 365 Sales 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 · BigQuery ⇄ Microsoft Dynamics 365 SalesCustomers 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.
BigQuery Microsoft Dynamics 365 SalesCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and Microsoft Dynamics 365 Sales integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Microsoft Dynamics 365 Sales: authenticate both systems, choose the objects to sync (such as BigQuery's Clustered tables and Datasets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 BigQuery and Microsoft Dynamics 365 Sales: Pipeline warehouse; Lead scoring loop; Quote-to-order tracking. Dynamics 365 Opportunities and Accounts sync to partitioned BigQuery Tables for win-rate and velocity analysis.
-
BigQuery: 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. Microsoft Dynamics 365 Sales: Dataverse Web API (OData v4 REST). Authentication: OAuth 2.0 via Microsoft Entra ID. Stacksync manages authentication, retries, and rate limits on both sides.
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Microsoft Dynamics 365 Sales: Data lives in Dataverse tables exposed through an OData v4 Web API, so standard query options handle filtering, expansion, and paging. BigQuery: BigQuery is serverless: there are no clusters or warehouses to size, and storage and compute are billed separately. Stacksync's field mapping accounts for these differences between BigQuery and Microsoft Dynamics 365 Sales without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means BigQuery and Microsoft Dynamics 365 Sales records are not retained after a sync operation.
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
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