Developer tools

Connect Jms to any app with two-way sync.

Two-way sync Jms across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

SOC 2 and 6 other compliance frameworks
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Live sync

stacksync.com

Jms

Any system

<1s: latency
2-way: sync
100M+: records

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

Object catalog

What Stacksync syncs in Jms.

These objects sync between Jms and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Jms exposes them.

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.
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.
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.
MapMessage: Body of typed name/value pairs that maps directly onto record fields, so no custom body parsing is needed on read or write.
BytesMessage: Raw binary body for files, protobuf, or opaque payloads; passed through as a byte stream when structured field mapping is not required.
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.
Message headers and properties: JMSCorrelationID, JMSReplyTo, JMSTimestamp, JMSType plus JMSX/application-defined properties; used for correlation, routing, and selector-based filtering.
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.

API surface

How Stacksync connects to Jms.

The connector runs on Jms's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection: 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.
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.).

Sync directions

Read Supported
Write Supported
Change data capture Not available
Webhooks Supported

What ships with Jms

Connect Jms for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Jms instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 Jms record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Jms connector.

JMS (Java Message Service, now Jakarta Messaging) is the standard Java API for message-oriented middleware, owned by integration and platform engineering teams. It fronts brokers such as IBM MQ, Apache ActiveMQ, Solace, and TIBCO EMS that carry orders, events, and inter-service traffic between Java applications. It is a system of engagement rather than of record: data flows through queues and topics as transient messages instead of sitting in tables, so the value is moving events in and out reliably, not storing them.

Integration / middleware engineers
Java backend developers
Enterprise architects
Platform and infrastructure teams
Messaging (MOM) administrators

Consume order or event messages from a JMS Queue and upsert them as rows into Postgres or a warehouse so downstream apps read them in plain SQL.
Publish records changed in a CRM or database as TextMessages onto a JMS Topic so subscribing Java services react in real time.
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.
Fan out inventory or pricing updates onto a Topic with durable subscriptions so multiple services stay aligned even after downtime.
Route messages by JMSType or application property using a message selector, landing high-priority messages in one table and the rest in another.
Consume messages from a JMS Queue on IBM MQ or ActiveMQ and upsert them as rows into Postgres, so teams query legacy middleware traffic in SQL instead of writing their own JMS consumers.

Good to know

JMS is a specification, not a product; persistence, security, dead-letter naming, and flow control depend on the provider (ActiveMQ, IBM MQ, Solace, TIBCO EMS, Amazon SQS JMS).
Queue delivery is point-to-point: each message is consumed by exactly one consumer, so a sync engine competes with any other consumer on the same queue. Use a Topic or a dedicated queue for a non-destructive copy.
Only PERSISTENT delivery mode combined with a durable subscription survives broker restarts or consumer downtime; non-persistent messages can be dropped.
Message selectors filter on headers and properties using an SQL-92 subset (up to 2,000 bytes), not on message body content.
There is no CDC-style replay: once a message is acknowledged it is removed from the queue, so already-consumed messages cannot be re-read historically.
JMS is a spec, so behavior varies by broker. Queue reads are destructive — each message is consumed once, so a sync competing with an existing consumer will steal its messages; use a Topic or a dedicated queue for a copy. Non-persistent messages can be lost on restart, and acknowledged messages cannot be replayed, so there is no historical backfill like CDC.

All Jms integrations

Pick the system you need to keep in sync with Jms. Each page covers the sync setup, field mapping, and common workflows for that pair.

Database · 50

Business productivity · 37

How it works

Set up Jms in minutes, without APIs.

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 Jms with its 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

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the Jms objects to sync — Stacksync auto-detects the schema, 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

Customers 12,480
Sales Orders 8,213
Invoices 5,902
Items 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.
- Auto-map
- Type casting
- Transforms
Jms database

Company company_name text
Email email text
Amount amount numeric
Created created_at timestamp

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FAQ

Jms connector FAQ

What can I sync with the Jms connector?

Jms's core objects — Queue, Topic, TextMessage, MapMessage and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Jms?

Via JMS / Jakarta Messaging API (classic API and simplified JMSContext) over provider transports such as OpenWire, AMQP, IBM MQ, or STOMP, authenticated with 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.. Changes are detected as follows — 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.. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Jms connector two-way?

Yes. Changes made in Jms propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a Jms integration take to set up?

Most Jms integrations go live in minutes: authenticate Jms and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Jms data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Jms data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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

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

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Connect Jms to any app with two-way sync.

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

What Stacksync syncs in Jms.