Real-time
Two-way sync
Changes in Jdbc or Microsoft 365 instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Jdbc to Microsoft 365 integration — real-time, two-way sync
Keep Jdbc 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
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Jdbc and Microsoft 365
Mirror Microsoft 365's data into Jdbc so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Microsoft 365 through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Jdbc.
Stacksync mirrors Planner & To Do Tasks, Users, Groups, Mail Messages from Microsoft 365 into Columns, Primary keys & indexes, Schemas & catalogs, Stored procedures & functions in Jdbc and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Microsoft 365, so the tool and the database never disagree.
Common use cases
- 01 Mirror calendar events into scheduling or CRM tools so meetings appear on customer timelines.
- 02 Sync SharePoint lists with operational databases so business users edit in SharePoint while systems read SQL.
- 03 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.
- 04 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
Common sync patterns
React to changes as they happen
Updates in Microsoft 365 arrive as row changes in Jdbc, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Microsoft 365 with a query
Records from Microsoft 365 are ordinary rows in Jdbc; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Jdbc 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.
| Jdbc objects | Microsoft 365 objects | How this pairing syncs | |
|---|---|---|---|
| Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. | SharePoint Sites & Lists List items read and written like lightweight database tables. | Schemas & catalogs is specific to Jdbc and SharePoint Sites & Lists to Microsoft 365 — each maps to any object or custom field on the other side. | |
| Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Teams Team and membership data provisioned from upstream systems. | Stored procedures & functions is specific to Jdbc and Teams to Microsoft 365 — each maps to any object or custom field on the other side. | |
| Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Planner & To Do Tasks Task items synced with project and work-management tools. | Sequences is specific to Jdbc and Planner & To Do Tasks to Microsoft 365 — each maps to any object or custom field on the other side. | |
| Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | Users Entra ID user accounts synced with HR and identity systems. | Tables is specific to Jdbc and Users to Microsoft 365 — each maps to any object or custom field on the other side. | |
| Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Groups Microsoft 365 and security groups kept aligned with org structure and access rules. | Views is specific to Jdbc and Groups to Microsoft 365 — each maps to any object or custom field on the other side. | |
| Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | Mail Messages Exchange Online messages read for logging, archiving, or activity capture. | Columns is specific to Jdbc and Mail Messages to Microsoft 365 — each maps to any object or custom field on the other side. |
How changes propagate between Jdbc and Microsoft 365
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.
Jdbc Microsoft 365 Interval-based propagation
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Microsoft 365 through its API, with automatic retries and rate-limit backoff.
Microsoft 365 Jdbc Sub-second propagation
DetectionMicrosoft 365 notifies Stacksync of record changes through webhook events. Graph change notifications (webhooks) plus delta queries for incremental sync.
DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Jdbc ⇄ Microsoft 365
Connect Jdbc and Microsoft 365 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jdbc–Microsoft 365 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Jdbc 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 Jdbc or Microsoft 365 record.
Observability
Monitoring
Track your Jdbc ⇄ 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 Jdbc and Microsoft 365.
How the Jdbc and Microsoft 365 connectors work
Jdbc
- Integration surface
- JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
- Authentication
- A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
- Change detection
- No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
- Capabilities
- read · write
- Rate limits
- No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
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 Jdbc 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 Jdbc 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.
Jdbc connected
Microsoft 365
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Jdbc 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 · Jdbc ⇄ 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.
Jdbc Microsoft 365Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Jdbc and Microsoft 365 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Jdbc and Microsoft 365: authenticate both systems, choose the objects to sync (such as Jdbc's Schemas & catalogs and Stored procedures & functions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. Jdbc: There is no API request quota; throughput is bounded by the database's max connections and connection-pool size and the CPU it shares with production queries, so heavy syncs can contend with live workloads. Stacksync's field mapping accounts for these differences between Jdbc 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 Jdbc 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 Jdbc and Microsoft 365 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jdbc–Microsoft 365 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Jdbc and Microsoft 365. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Jdbc: No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks. On Microsoft 365: Graph change notifications (webhooks) plus delta queries for incremental sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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 380 integrations available for Jdbc and Microsoft 365.
Popular · 2 of 380
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