Skip to content
Developer tools ⇄ Database

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

Keep Jms and Reltio 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 Jms and Reltio

Keep Reltio and Jms in step: the rows in your database and the Topic, TextMessage, MapMessage, BytesMessage your engineering tools track stay consistent in real time, in both directions.

Reltio is where your application's durable data lives; Jms is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.

Stacksync syncs Interactions, Matches (Potential Matches), Activity Log, Data Change Requests (DCR) in Reltio with Topic, TextMessage, MapMessage, BytesMessage in Jms field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.

Common use cases

  • 01 Sync Relations (affiliations, hierarchies, households) between Reltio and a CRM or graph so account and affiliation structures stay aligned.
  • 02 Feed Interactions (transactions, visits, events) into Reltio to enrich entity profiles, then read them back for 360-degree reporting.
  • 03 Route messages by JMSType or application property using a message selector, landing high-priority messages in one table and the rest in another.
  • 04 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.

Common sync patterns

React to changes on either side in near real time

Updates in Jms arrive as row changes in Reltio, and writes to Reltio propagate to Jms within seconds, so triggers, jobs, and alerts fire without polling.

Where Jms manages users or groups: keep identity aligned

Directory and identity records in Jms stay matched to the users or owners table in Reltio, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in Reltio creates or updates the matching record in Jms, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

What you can sync between Jms and Reltio

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 Reltio objects How this pairing syncs
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. Entities Golden records for each configured entity type (for example Organization, Individual/Contact, Location, or Product); full CRUD via /entities, so records are created, updated, and deleted, and Reltio matches and merges them by survivorship rules. Queue is specific to Jms and Entities to Reltio — each maps to any object or custom field on the other side.
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. Relations Typed relationships between two entities (affiliations, hierarchies, employment, households); read and written via /relations to keep account hierarchies and affiliation graphs aligned across systems. Topic is specific to Jms and Relations to Reltio — each maps to any object or custom field on the other side.
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. Crosswalks Per-entity references to the source systems and their record IDs; written when loading records so Reltio ties each source contribution to a golden record, and read to trace lineage back to origin systems. TextMessage is specific to Jms and Crosswalks to Reltio — each maps to any object or custom field on the other side.
MapMessage Body of typed name/value pairs that maps directly onto record fields, so no custom body parsing is needed on read or write. Interactions Transactional or event records linked to entities (purchases, visits, activities); read and written via /interactions to enrich profiles and power 360-degree reporting. MapMessage is specific to Jms and Interactions to Reltio — 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. Matches (Potential Matches) Candidate duplicate pairs produced by match rules; read to review, and resolved with merge, unmerge, or not-a-match actions to control survivorship. BytesMessage is specific to Jms and Matches (Potential Matches) to Reltio — 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. Activity Log Immutable audit trail of changes to entities and relations via /activities; read-only, used for history, lineage, and compliance reporting. Durable Subscription is specific to Jms and Activity Log to Reltio — each maps to any object or custom field on the other side.

How changes propagate between Jms and Reltio

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

Reltio Jms Interval-based propagation

DetectionStacksync polls Reltio for changes on an incremental schedule, reading only records changed since the previous pass. Polling the REST API on updateTime (epoch-ms), for example filter=gt(updateTime,<timestamp>), for entities and relations changed past a stored.

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.).
  • Reltio: Reltio applies per-tenant API throttling and returns HTTP 429 (Too Many Requests) when limits are exceeded; there is no single fixed request-per-second cap published for all tenants, and throttling is tuned per tenant and environment. Large loads and reads use bulk create/update and the asynchronous export/jobs API rather than row-by-row calls.
What ships with Jms ⇄ Reltio

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jms or Reltio 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 Reltio record.

Observability

Monitoring

Track your Jms ⇄ Reltio 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 Reltio.

How the Jms and Reltio 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.).

Reltio

Integration surface
Reltio REST API (Data API) — /entities, /relations, /interactions, /activities, plus Match, RDM (reference data), and Data Change Request endpoints; base URL https://{environment}.reltio.com/reltio/api/{tenantId}
Authentication
OAuth 2.0 bearer tokens obtained from Reltio's central auth server (POST https://auth.reltio.com/oauth/token, client-credentials or password grant, application/x-www-form-urlencoded) and sent as Authorization: Bearer <token>; access tokens expire after about 60 minutes and are renewed with a refresh token, and are scoped per API (entities_api, relations_api, interactions_api, configuration_api, graphs_api)
Change detection
Polling the REST API on updateTime (epoch-ms), for example filter=gt(updateTime,<timestamp>), for entities and relations changed past a stored watermark. Reltio has no CDC log external tools consume; separately, Reltio's event streaming can publish entity change events (created, changed, removed) to a customer-configured message queue (Amazon SQS/SNS, Google Pub/Sub, Azure Service Bus, or Kafka), which is a queue feed rather than HTTP webhooks.
Capabilities
read · write
Rate limits
Reltio applies per-tenant API throttling and returns HTTP 429 (Too Many Requests) when limits are exceeded; there is no single fixed request-per-second cap published for all tenants, and throttling is tuned per tenant and environment. Large loads and reads use bulk create/update and the asynchronous export/jobs API rather than row-by-row calls.
How it works

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

    Choose tables

    Pick the Jms and Reltio 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 ⇄ Reltio
    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 Reltio
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Jms and Reltio 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
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 310 integrations available for Jms and Reltio.

Popular · 6 of 310
All Jms integrations All Reltio 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