Two-way sync
Changes in BigQuery or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.
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.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
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.
Join Microsoft Dynamics 365 Sales's relationship data with billing, product, and support data in BigQuery to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in BigQuery can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Microsoft Dynamics 365 Sales are queryable in BigQuery moments after they change, so dashboards stop lagging the reality they describe.
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 | |
|---|---|---|
| Clustered tables Supported; clustering is transparent to the sync. | Invoices Billing records; usually mastered in the ERP and mirrored back for seller visibility. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Activities Emails, calls, appointments, and tasks; read out for activity analytics. | |
| 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. | |
| 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. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Contacts Person records linked to accounts; synced with marketing and support systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Microsoft Dynamics 365 Sales connection.
Changes in BigQuery or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or Microsoft Dynamics 365 Sales data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or Microsoft Dynamics 365 Sales record.
Track your BigQuery ⇄ Microsoft Dynamics 365 Sales sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and Microsoft Dynamics 365 Sales.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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.
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.
Common patterns for BigQuery and Microsoft Dynamics 365 Sales: A single customer view; Cleanup that sticks; CRM analytics on live data. Join Microsoft Dynamics 365 Sales's relationship data with billing, product, and support data in BigQuery to build the customer picture the CRM alone cannot hold.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for BigQuery and Microsoft Dynamics 365 Sales.