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ConnectWise to Jms integration — real-time, two-way sync

Keep ConnectWise and Jms 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 ConnectWise and Jms

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

ConnectWise 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 Configurations, Members, Activities, Companies in ConnectWise with Dead Letter Queue, Queue, Topic, TextMessage 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 Reconcile ConnectWise invoices and agreements against the accounting system to catch billing gaps.
  • 02 Keep configuration (asset) records aligned with an external CMDB or RMM tool.
  • 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 moves messages between services: activity lands on the stream

Records created or changed in ConnectWise publish to the queue or topic in Jms as they happen, so downstream services react to real events rather than polling for them.

Where Jms is the directory or identity source: one set of users

People and accounts in ConnectWise stay matched to the users in Jms, so access, provisioning, and org changes propagate instead of being keyed in twice.

Where Jms watches operations: live volumes for visibility

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

What you can sync between ConnectWise and Jms

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.

ConnectWise objects Jms objects How this pairing syncs
Companies Client and prospect account records that anchor most other PSA data in a sync. 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. Companies is specific to ConnectWise and Dead Letter Queue to Jms — each maps to any object or custom field on the other side.
Contacts People attached to companies, commonly synced against CRM contact records. 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. Contacts is specific to ConnectWise and Queue to Jms — each maps to any object or custom field on the other side.
Service Tickets Support and service desk tickets, including status, board, and priority fields. Topic Publish/subscribe destination that fans each message out to every active subscriber. Stacksync subscribes to event streams or publishes records so multiple services react. Service Tickets is specific to ConnectWise and Topic to Jms — each maps to any object or custom field on the other side.
Opportunities Sales pipeline records synced to CRMs for forecasting and handoff. TextMessage Most common body type, carrying a String that is usually JSON or XML. Deserialized into rows/records on read and serialized from source records on write. Opportunities is specific to ConnectWise and TextMessage to Jms — each maps to any object or custom field on the other side.
Agreements Recurring contracts and managed-service agreements used for billing reconciliation. MapMessage Body of typed name/value pairs that maps directly onto record fields, so no custom body parsing is needed on read or write. Agreements is specific to ConnectWise and MapMessage to Jms — each maps to any object or custom field on the other side.
Projects Project and phase records synced for delivery tracking outside the PSA. BytesMessage Raw binary body for files, protobuf, or opaque payloads; passed through as a byte stream when structured field mapping is not required. Projects is specific to ConnectWise and BytesMessage to Jms — each maps to any object or custom field on the other side.

How changes propagate between ConnectWise and Jms

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.

ConnectWise Jms Sub-second propagation

DetectionConnectWise notifies Stacksync of record changes through webhook events. Callbacks (webhooks) on record changes, supplemented by polling on last-updated fields.

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

Jms ConnectWise 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 ConnectWise through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • ConnectWise: Subject to the platform's API rate limits per company and integration.
  • 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 ConnectWise ⇄ Jms

Connect ConnectWise and Jms for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in ConnectWise or Jms instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ConnectWise or Jms 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 ConnectWise or Jms record.

Observability

Monitoring

Track your ConnectWise ⇄ Jms sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between ConnectWise and Jms.

How the ConnectWise and Jms connectors work

ConnectWise

Integration surface
REST API
Authentication
Public/private API key pair for an API member, combined with a registered clientId, sent via Basic authentication
Change detection
Callbacks (webhooks) on record changes, supplemented by polling on last-updated fields
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits per company and integration

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.).
How it works

How to connect ConnectWise to Jms — 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 ConnectWise and Jms 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
    ConnectWise connected
    Jms connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the ConnectWise and Jms 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 · ConnectWise ⇄ Jms
    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
    ConnectWise Jms
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

ConnectWise and Jms 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
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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 378 integrations available for ConnectWise and Jms.

Popular · 7 of 378
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