Real-time
Two-way sync
Changes in Gainsight or Jms instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Developer tools
Gainsight to Jms integration — real-time, two-way sync
Keep Gainsight 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 Gainsight and Jms
Connect the tickets, records, and events in Gainsight to the systems engineering runs in Jms, kept current in real time and in both directions.
Gainsight 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 Relationship, CTA (Call to Action), Scorecard Fact, Timeline Activity in Gainsight with MapMessage, BytesMessage, Durable Subscription, Message headers and properties 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 Keep Relationship records aligned with a billing system or ERP so multi-product customers map to the correct contracts and invoices.
- 02 Read Timeline Activities and Success Plan objectives into a reporting database for churn, QBR, and CSM-productivity dashboards.
- 03 Fan out inventory or pricing updates onto a Topic with durable subscriptions so multiple services stay aligned even after downtime.
- 04 Route messages by JMSType or application property using a message selector, landing high-priority messages in one table and the rest in another.
Common sync patterns
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 Gainsight 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.
Where Jms moves messages between services: activity lands on the stream
Records created or changed in Gainsight publish to the queue or topic in Jms as they happen, so downstream services react to real events rather than polling for them.
What you can sync between Gainsight 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.
| Gainsight objects | Jms objects | How this pairing syncs | |
|---|---|---|---|
| Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. | BytesMessage Raw binary body for files, protobuf, or opaque payloads; passed through as a byte stream when structured field mapping is not required. | Success Plan is specific to Gainsight and BytesMessage to Jms — each maps to any object or custom field on the other side. | |
| Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. | 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. | Task and Playbook is specific to Gainsight and Durable Subscription to Jms — each maps to any object or custom field on the other side. | |
| Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. | Message headers and properties JMSCorrelationID, JMSReplyTo, JMSTimestamp, JMSType plus JMSX/application-defined properties; used for correlation, routing, and selector-based filtering. | Custom Objects is specific to Gainsight and Message headers and properties to Jms — each maps to any object or custom field on the other side. | |
| Company Customer/account master in Gainsight CS; two-way synced with CRM and warehouse customer tables to keep ARR, owner, and renewal fields aligned. | 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. | Company is specific to Gainsight and Dead Letter Queue to Jms — each maps to any object or custom field on the other side. | |
| Person (People) Contacts associated to companies through the Company Person junction; synced two-way with CRM contacts and warehouse person 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. | Person (People) is specific to Gainsight and Queue to Jms — each maps to any object or custom field on the other side. | |
| Relationship Sub-units within a company for multi-product or multi-team accounts; synced so each maps to the right contract in billing or an ERP. | 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. | Relationship is specific to Gainsight and Topic to Jms — each maps to any object or custom field on the other side. |
How changes propagate between Gainsight 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.
Gainsight Jms Interval-based propagation
DetectionStacksync polls Gainsight for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object.
DeliveryEach detected change is written to Jms through its API, with automatic retries and rate-limit backoff.
Jms Gainsight 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 Gainsight through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Gainsight: Synchronous APIs are capped near 100 calls/min and 50,000/day; the asynchronous Bulk API allows 10 calls/hour and 100/day. Both are fixed-window limits, and the applicable per-hour and per-day limits are returned in the x-ratelimit-limit response header.
- 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 Gainsight ⇄ Jms
Connect Gainsight and Jms for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gainsight–Jms connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Gainsight 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 Gainsight or Jms record.
Observability
Monitoring
Track your Gainsight ⇄ Jms sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Gainsight and Jms.
How the Gainsight and Jms connectors work
Gainsight
- Integration surface
- REST APIs (per-object) and asynchronous Bulk REST API
- Authentication
- API access key passed in the 'accesskey' request header (non-expiring), generated by a Gainsight admin; M2M OAuth (Client ID/Secret) is also supported
- Change detection
- Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint
- Capabilities
- read · write
- Rate limits
- Synchronous APIs are capped near 100 calls/min and 50,000/day; the asynchronous Bulk API allows 10 calls/hour and 100/day. Both are fixed-window limits, and the applicable per-hour and per-day limits are returned in the x-ratelimit-limit response header.
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 Gainsight 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.
- 01
Connect your apps
Authenticate Gainsight 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.
Gainsight
connected
Jms
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Gainsight 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.
objects · Gainsight ⇄ JmsCustomers 12,480Sales Orders 8,213Invoices 5,902Items 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.
Gainsight JmsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Gainsight and Jms integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Gainsight and Jms: authenticate both systems, choose the objects to sync (such as Gainsight's Success Plan and Task and Playbook), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Gainsight and Jms. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Gainsight: Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint. On Jms: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Gainsight side: Relationship, CTA (Call to Action), Scorecard Fact, Timeline Activity, plus custom fields where Gainsight exposes them. On the Jms side: MapMessage, BytesMessage, Durable Subscription, Message headers and properties. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Gainsight and Jms: One shared record across both systems; Where Jms tracks engineering work: requests become issues; Where Jms moves messages between services: activity lands on the stream. 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.
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 390 integrations available for Gainsight and Jms.
Popular · 8 of 390
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Gainsight ⇄ Google Pubsub -
Gainsight ⇄ Ldap -
Gainsight ⇄ Microsoft Graph -
Gainsight ⇄ Newrelic -
Jms ⇄ Sysaid -
Jms ⇄ Wrike -
Jms ⇄ Zendesk -
Jms ⇄ Campfire
No integrations match .
