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Data warehouse ⇄ CRM

Databricks to Microsoft Dynamics 365 Sales integration — real-time, two-way sync

Keep Databricks 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
  • 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 Databricks and Microsoft Dynamics 365 Sales

Sync Microsoft Dynamics 365 Sales into Databricks continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

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. Leads, Opportunities, Quotes, Orders from Microsoft Dynamics 365 Sales land in Databricks as live tables, updated within seconds, and columns computed in Databricks 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

  • Run a two-way dual-run between Dynamics and another CRM during a migration.
  • Feed BI models with continuously updated CRM data instead of scheduled exports.
  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • Serve ML feature outputs computed in Databricks to production apps through a synced operational store.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Databricks appear as fields in Microsoft Dynamics 365 Sales, where the people working accounts actually see them.

A single customer view

Join Microsoft Dynamics 365 Sales's relationship data with billing, product, and support data in Databricks to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Databricks can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between Databricks 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.

Databricks objects Microsoft Dynamics 365 Sales objects
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Custom Tables Tenant-defined Dataverse tables; exposed through the same Web API as standard tables.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Accounts Company records in Dataverse; the usual anchor for two-way sync with databases and ERPs.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Contacts Person records linked to accounts; synced with marketing and support systems.
Views Curated read-only projections used as sync sources for downstream tools. Leads Prospect records; written in from enrichment or web forms, read out on qualification.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Opportunities Deal records with stages and estimated revenue; synced for pipeline reporting and close-triggered workflows.
Volumes Unity Catalog file storage used for staging bulk loads. Quotes Pricing proposals; often synced with CPQ or ERP pricing data.
What ships with Databricks ⇄ Microsoft Dynamics 365 Sales

Connect Databricks and Microsoft Dynamics 365 Sales for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Databricks or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks 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 Databricks or Microsoft Dynamics 365 Sales record.

Observability

Monitoring

Track your Databricks ⇄ 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 Databricks and Microsoft Dynamics 365 Sales.

How the Databricks and Microsoft Dynamics 365 Sales connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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 Databricks 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.

  1. 01

    Connect your apps

    Authenticate Databricks 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Databricks connected
    Microsoft Dynamics 365 Sales connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Databricks ⇄ Microsoft Dynamics 365 Sales
    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
    Databricks Microsoft Dynamics 365 Sales
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Databricks and Microsoft Dynamics 365 Sales integration FAQ

SECURITY

Security teams love 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
CSA STAR
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

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Databricks and Microsoft Dynamics 365 Sales.

Popular · 8 of 386
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