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

Keep Jms 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Jms and Microsoft Dynamics 365

Connect the tickets, records, and events in Microsoft Dynamics 365 to the systems engineering runs in Jms, kept current in real time and in both directions.

Microsoft Dynamics 365 is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jms is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.

Stacksync syncs Contacts, Leads, Opportunities, Cases (Incidents) in Microsoft Dynamics 365 with BytesMessage, Durable Subscription, Message headers and properties, Dead Letter Queue in Jms field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.

Common use cases

  • 01 Two-way sync of accounts and contacts with a Postgres or SQL database so engineers query SQL while sales works in Dynamics.
  • 02 Keep opportunities and orders consistent with the ERP or billing system without manual re-entry.
  • 03 Bridge a legacy IBM MQ or ActiveMQ Queue to a SaaS system of record by consuming each message and writing the record through the SaaS API.
  • 04 Fan out inventory or pricing updates onto a Topic with durable subscriptions so multiple services stay aligned even after downtime.

Common sync patterns

Where Jms watches operations: live volumes for visibility

Open items, throughput, and error counts from Microsoft Dynamics 365 replicate into Jms, so the operational view reflects what is actually happening in the business.

One shared record across both systems

Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.

Where Jms tracks engineering work: requests become issues

A ticket or request raised in Microsoft Dynamics 365 opens or updates a matching issue in Jms, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.

What you can sync between Jms 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.

Jms objects Microsoft Dynamics 365 objects How this pairing syncs
MapMessage Body of typed name/value pairs that maps directly onto record fields, so no custom body parsing is needed on read or write. Opportunities Pipeline records synced with forecasting, CPQ, and billing systems. MapMessage is specific to Jms and Opportunities to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
BytesMessage Raw binary body for files, protobuf, or opaque payloads; passed through as a byte stream when structured field mapping is not required. Cases (Incidents) Support records shared with ticketing tools and product databases. BytesMessage is specific to Jms and Cases (Incidents) to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Durable Subscription Named topic subscription that retains messages while the consumer is offline, so a sync that disconnects does not miss events published in the meantime. Quotes, Orders & Invoices Transaction documents reconciled with the ERP or billing source of truth. Durable Subscription is specific to Jms and Quotes, Orders & Invoices to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Message headers and properties JMSCorrelationID, JMSReplyTo, JMSTimestamp, JMSType plus JMSX/application-defined properties; used for correlation, routing, and selector-based filtering. Products Catalog records aligned with ERP item masters. Message headers and properties is specific to Jms and Products to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Dead Letter Queue Provider-managed destination (e.g. ActiveMQ.DLQ, IBM MQ dead-letter queue) where messages exceeding redelivery limits land; read to reconcile failed deliveries. Activities Emails, calls, and tasks captured for engagement analytics. Dead Letter Queue is specific to Jms and Activities to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Queue Point-to-point destination where each message is delivered to exactly one consumer. Stacksync consumes messages to load into a database, or publishes messages for a downstream Java service to process. Custom Tables Dataverse tables that carry business-specific entities through the same API surface. Queue is specific to Jms and Custom Tables to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.

How changes propagate between Jms 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.

Jms Microsoft Dynamics 365 Sub-second propagation

DetectionJms notifies Stacksync of record changes through webhook events. Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling.

DeliveryEach detected change is written to Microsoft Dynamics 365 through its API, with automatic retries and rate-limit backoff.

Microsoft Dynamics 365 Jms 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 written to Jms through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Jms: JMS defines no protocol-level rate limits; throughput ceilings, consumer prefetch, and producer flow control are configured on the broker (ActiveMQ, IBM MQ, Solace, TIBCO EMS, etc.).
What ships with Jms ⇄ Microsoft Dynamics 365

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

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

Real-time

Two-way sync

Changes in Jms 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 Jms 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 Jms or Microsoft Dynamics 365 record.

Observability

Monitoring

Track your Jms ⇄ 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 Jms and Microsoft Dynamics 365.

How the Jms and Microsoft Dynamics 365 connectors work

Jms

Integration surface
JMS / Jakarta Messaging API (classic API and simplified JMSContext) over provider transports such as OpenWire, AMQP, IBM MQ, or STOMP
Authentication
Username/password credentials passed to ConnectionFactory.createConnection(); ConnectionFactory and Destinations resolved via JNDI. Transport security (TLS) and stronger auth (SASL, JAAS, client certificates) are broker-implementation-specific.
Change detection
Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling. Message selectors (an SQL-92 subset over headers/properties) filter delivery. There is no modified-date polling or CDC replay, and queue consumption is destructive.
Capabilities
read · write · webhooks
Rate limits
JMS defines no protocol-level rate limits; throughput ceilings, consumer prefetch, and producer flow control are configured on the broker (ActiveMQ, IBM MQ, Solace, TIBCO EMS, etc.).

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 Jms 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 Jms 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
    Jms connected
    Microsoft Dynamics 365 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jms 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 · Jms ⇄ 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
    Jms Microsoft Dynamics 365
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Jms 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.

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 392 integrations available for Jms and Microsoft Dynamics 365.

Popular · 7 of 392
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