Two-way sync
Changes in Atlassian or Reltio instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian 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.
Engineers integrate with tools like Atlassian through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Reltio.
Stacksync mirrors Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages from Atlassian into Entities, Relations, Crosswalks, Interactions in Reltio and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Atlassian, so the tool and the database never disagree.
Records from Atlassian are ordinary rows in Reltio; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Reltio and Stacksync propagates the change into Atlassian, replacing custom integration code.
Updates in Atlassian arrive as row changes in Reltio, so triggers, jobs, and services can respond in near real time.
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.
| Atlassian objects | Reltio objects | How this pairing syncs | |
|---|---|---|---|
| Boards and Sprints Agile structures read to report on sprint contents and status. | Data Change Requests (DCR) Stewardship change proposals routed through approval workflows; read and written to feed or track governed edits to golden records. | Boards and Sprints is specific to Atlassian and Data Change Requests (DCR) to Reltio — each maps to any object or custom field on the other side. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Reference Data (RDM) Managed lookup and reference values (country codes, standardized values, hierarchies); read and updated so downstream systems share consistent reference data. | Issue Comments is specific to Atlassian and Reference Data (RDM) to Reltio — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | 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. | Attachments is specific to Atlassian and Entities to Reltio — each maps to any object or custom field on the other side. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | 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. | Custom Fields is specific to Atlassian and Relations to Reltio — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | 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. | Workflows and Statuses is specific to Atlassian and Crosswalks to Reltio — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Interactions Transactional or event records linked to entities (purchases, visits, activities); read and written via /interactions to enrich profiles and power 360-degree reporting. | Users and Groups is specific to Atlassian and Interactions to Reltio — each maps to any object or custom field on the other side. |
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.
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryEach detected change is written to Reltio through its API, with automatic retries and rate-limit backoff.
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 Atlassian through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Reltio connection.
Changes in Atlassian or Reltio instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or Reltio data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Atlassian or Reltio record.
Track your Atlassian ⇄ Reltio sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and Reltio.
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.
Authenticate Atlassian 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.
Pick the Atlassian 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Reltio: authenticate both systems, choose the objects to sync (such as Atlassian's Boards and Sprints and Issue Comments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Atlassian: Issue transitions are workflow-controlled, so writes that change status must call the transitions endpoint with a valid target state rather than setting the field directly. Reltio: Reltio has no database-style CDC log external tools consume; incremental sync filters entities and relations on updateTime (epoch-ms). Reltio separately can publish change events to a customer-configured message queue (Amazon SQS/SNS, Google Pub/Sub, Azure Service Bus, or Kafka) — a queue feed, not HTTP webhooks. Stacksync's field mapping accounts for these differences between Atlassian and Reltio without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Atlassian and Reltio records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Reltio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Reltio integration in-house.
Yes — Stacksync ships production-grade connectors for both Atlassian and Reltio. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On Reltio: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 369 integrations available for Atlassian and Reltio.