Real-time
Two-way sync
Changes in Databricks or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.
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
Live sync
stacksync.com - <1s
- latency
- 2-way
- sync
- 100M+
- records
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
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
- 01 Run a two-way dual-run between Dynamics and another CRM during a migration.
- 02 Feed BI models with continuously updated CRM data instead of scheduled exports.
- 03 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
- 04 Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Catalogs is specific to Databricks and Custom Tables to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| 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. | Schemas is specific to Databricks and Accounts to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| 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. | Delta Tables is specific to Databricks and Contacts to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| 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. | Views is specific to Databricks and Leads to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views is specific to Databricks and Opportunities to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Quotes Pricing proposals; often synced with CPQ or ERP pricing data. | Volumes is specific to Databricks and Quotes to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. |
How changes propagate between Databricks 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.
Databricks Microsoft Dynamics 365 Sales Sub-second propagation
DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.
DeliveryEach detected change is written to Microsoft Dynamics 365 Sales through its API, with automatic retries and rate-limit backoff.
Microsoft Dynamics 365 Sales Databricks 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 Databricks as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
- Microsoft Dynamics 365 Sales: Requests are governed by Dataverse service protection limits evaluated per user and time window.
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.
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.
- 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.
Databricks
connected
Microsoft Dynamics 365 Sales
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Databricks ⇄ 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.
Databricks Microsoft Dynamics 365 SalesCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Databricks and Microsoft Dynamics 365 Sales integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Databricks and Microsoft Dynamics 365 Sales: authenticate both systems, choose the objects to sync (such as Databricks's Catalogs and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Databricks and Microsoft Dynamics 365 Sales: Scores and segments back on the record; A single customer view; Cleanup that sticks. 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.
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Databricks: 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. 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: Alternate keys allow upserts against external identifiers, so integrations do not need to store Dataverse GUIDs to write reliably. Databricks: SQL warehouses expose standard JDBC/ODBC connectivity plus a REST statement-execution endpoint, so tools can integrate without cluster management. Stacksync's field mapping accounts for these differences between Databricks 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 Databricks and Microsoft Dynamics 365 Sales records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Databricks and Microsoft Dynamics 365 Sales connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Databricks–Microsoft Dynamics 365 Sales integration in-house.
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
Every pair below is a real-time, two-way sync. Search all 475 integrations available for Databricks and Microsoft Dynamics 365 Sales.
Popular · 5 of 475
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Microsoft Dynamics 365 Sales ⇄ ClickHouse
No integrations match .
