Skip to content
Database ⇄ Business productivity

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

Keep Jdbc and Microsoft Dynamics 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
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 Jdbc and Microsoft Dynamics 365

Mirror Microsoft Dynamics 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 Dynamics 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 Products, Activities, Custom Tables, Accounts from Microsoft Dynamics 365 into Sequences, Tables, Views, Columns 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 Dynamics 365, so the tool and the database never disagree.

Common use cases

  • 01 Enrich leads from external data sources and write scores back onto Dynamics records.
  • 02 Two-way sync of accounts and contacts with a Postgres or SQL database so engineers query SQL while sales works in Dynamics.
  • 03 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
  • 04 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.

Common sync patterns

Read Microsoft Dynamics 365 with a query

Records from Microsoft Dynamics 365 are ordinary rows in Jdbc; join them, index them, and use them in application logic without touching the vendor API.

Automate Microsoft Dynamics 365 from your codebase

Write to the synced tables in Jdbc and Stacksync propagates the change into Microsoft Dynamics 365, replacing custom integration code.

React to changes as they happen

Updates in Microsoft Dynamics 365 arrive as row changes in Jdbc, so triggers, jobs, and services can respond in near real time.

What you can sync between Jdbc and Microsoft Dynamics 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 Dynamics 365 objects How this pairing syncs
Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. Cases (Incidents) Support records shared with ticketing tools and product databases. Primary keys & indexes is specific to Jdbc and Cases (Incidents) to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
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. Quotes, Orders & Invoices Transaction documents reconciled with the ERP or billing source of truth. Schemas & catalogs is specific to Jdbc and Quotes, Orders & Invoices to Microsoft Dynamics 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. Products Catalog records aligned with ERP item masters. Stored procedures & functions is specific to Jdbc and Products to Microsoft Dynamics 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. Activities Emails, calls, and tasks captured for engagement analytics. Sequences is specific to Jdbc and Activities to Microsoft Dynamics 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. Custom Tables Dataverse tables that carry business-specific entities through the same API surface. Tables is specific to Jdbc and Custom Tables to Microsoft Dynamics 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. Accounts Company records synced bi-directionally with ERPs, databases, and billing systems. Views is specific to Jdbc and Accounts to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.

How changes propagate between Jdbc and Microsoft Dynamics 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 Dynamics 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 Dynamics 365 through its API, with automatic retries and rate-limit backoff.

Microsoft Dynamics 365 Jdbc Sub-second propagation

DetectionMicrosoft Dynamics 365 pushes changes as they happen — webhook events backed by change data capture. Change data capture (CDC) via the Dynamics 365 Change Tracking feature.

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 Dynamics 365

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jdbc or Microsoft Dynamics 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 Dynamics 365 record.

Observability

Monitoring

Track your Jdbc ⇄ Microsoft Dynamics 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 Dynamics 365.

How the Jdbc and Microsoft Dynamics 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 Dynamics 365

Integration surface
REST API (Dataverse Web API, OData v4); Finance & Operations apps expose a separate OData data-entity surface
Authentication
Microsoft OAuth sign-in: user provides the D365 environment URL, signs in with Microsoft credentials, and accepts the Stacksync app (permissions to read CRM data and interact with OData entities)
Change detection
Change data capture (CDC) via the Dynamics 365 Change Tracking feature; standard entities have change tracking enabled by default, custom entities require enabling "Track Changes" in Power Apps/Dataverse table properties
Capabilities
read · write · CDC · webhooks
Microsoft Dynamics 365 setup guide
How it works

How to connect Jdbc to Microsoft Dynamics 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.

  1. 01

    Connect your apps

    Authenticate Jdbc and Microsoft Dynamics 365 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
    Jdbc connected
    Microsoft Dynamics 365 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jdbc and Microsoft Dynamics 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.

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

Jdbc and Microsoft Dynamics 365 integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 438 integrations available for Jdbc and Microsoft Dynamics 365.

Popular · 5 of 438
All Jdbc integrations All Microsoft Dynamics 365 integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own