Real-time
Two-way sync
Changes in Databricks or Microsoft 365 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
Databricks to Microsoft 365 integration — real-time, two-way sync
Keep Databricks and Microsoft 365 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
Case study
Migrated from Mulesoft
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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 365
Get the data locked inside Microsoft 365 into Databricks as live tables, and send results back where Microsoft 365 can use them, without writing a pipeline.
Whatever Microsoft 365 is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs SharePoint Sites & Lists, Teams, Planner & To Do Tasks, Users from Microsoft 365 into tables in Databricks continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Databricks can also be written back into fields in Microsoft 365 where the tool can use them.
Common use cases
- Mirror calendar events into scheduling or CRM tools so meetings appear on customer timelines.
- Sync SharePoint lists with operational databases so business users edit in SharePoint while systems read SQL.
- Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
- Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
Where Microsoft 365 accepts updates: operational write-back
Segments, scores, or reference values computed in Databricks sync back onto records in Microsoft 365, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in Databricks preserves a queryable record even as data ages out of Microsoft 365 or gets changed inside it.
Analytics on Microsoft 365's data
Records and events from Microsoft 365 land in Databricks as queryable tables, current within seconds and ready to join with the rest of the warehouse.
What you can sync between Databricks and Microsoft 365
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 365 objects | |
|---|---|---|
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Planner & To Do Tasks Task items synced with project and work-management tools. | |
| Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Users Entra ID user accounts synced with HR and identity systems. | |
| Views Curated read-only projections used as sync sources for downstream tools. | Groups Microsoft 365 and security groups kept aligned with org structure and access rules. | |
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Mail Messages Exchange Online messages read for logging, archiving, or activity capture. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Calendar Events Events synced with scheduling tools and CRMs for meeting visibility. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Contacts Personal and org contacts kept consistent with CRM contact records. |
What ships with Databricks ⇄ Microsoft 365
Connect Databricks and Microsoft 365 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Microsoft 365 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Databricks or Microsoft 365 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 365 record.
Observability
Monitoring
Track your Databricks ⇄ Microsoft 365 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 365.
How the Databricks and Microsoft 365 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 365
- Integration surface
- REST API (Microsoft Graph)
- Authentication
- OAuth 2.0 via Microsoft Entra ID, with delegated or application permissions
- Change detection
- Graph change notifications (webhooks) plus delta queries for incremental sync
- Capabilities
- read · write · webhooks
How it works
How to connect Databricks to Microsoft 365 — 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 365 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 365
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Databricks and Microsoft 365 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 365Customers 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 365Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Databricks and Microsoft 365 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Databricks and Microsoft 365: authenticate both systems, choose the objects to sync (such as Databricks's Schemas and Delta Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Databricks and Microsoft 365: Where Microsoft 365 accepts updates: operational write-back; History that outlives the tool; Analytics on Microsoft 365's data. Segments, scores, or reference values computed in Databricks sync back onto records in Microsoft 365, putting analysis where the work happens.
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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 365: REST API (Microsoft Graph). Authentication: OAuth 2.0 via Microsoft Entra ID, with delegated or application permissions. Stacksync manages authentication, retries, and rate limits on both sides.
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Microsoft 365: Change notifications can push events for resources such as messages, events, and driveItems, with subscriptions that must be periodically renewed. 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 365 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 365 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 365 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Databricks–Microsoft 365 integration in-house.
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 365.
Popular · 8 of 386
- Databricks ⇄ ServiceNow
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Databricks ⇄ Slack -
Databricks ⇄ Zendesk -
Databricks ⇄ Campfire -
Microsoft 365 ⇄ Firebolt -
Microsoft 365 ⇄ Google Cloud Platform -
Microsoft 365 ⇄ Greenplum -
Microsoft 365 ⇄ IBM Netezza
No integrations match .
