Two-way sync
Changes in Jira or Reltio instantly reflect in both systems. No stale data, no manual imports.
Keep Jira 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.
Reltio is where your application's durable data lives; Jira 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 Reference Data (RDM), Entities, Relations, Crosswalks in Reltio with Sprints, Versions, Components, Users in Jira 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.
A new or changed row in Reltio creates or updates the matching record in Jira, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Records and events from Jira arrive in Reltio as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in Reltio and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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.
| Jira objects | Reltio objects | How this pairing syncs | |
|---|---|---|---|
| Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Data Change Requests (DCR) Stewardship change proposals routed through approval workflows; read and written to feed or track governed edits to golden records. | Versions is specific to Jira and Data Change Requests (DCR) to Reltio — each maps to any object or custom field on the other side. | |
| Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Reference Data (RDM) Managed lookup and reference values (country codes, standardized values, hierarchies); read and updated so downstream systems share consistent reference data. | Components is specific to Jira and Reference Data (RDM) to Reltio — each maps to any object or custom field on the other side. | |
| Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | 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. | Users is specific to Jira and Entities to Reltio — each maps to any object or custom field on the other side. | |
| Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. | 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. | Issues is specific to Jira and Relations to Reltio — each maps to any object or custom field on the other side. | |
| Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | 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. | Projects is specific to Jira and Crosswalks to Reltio — each maps to any object or custom field on the other side. | |
| Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Interactions Transactional or event records linked to entities (purchases, visits, activities); read and written via /interactions to enrich profiles and power 360-degree reporting. | Comments is specific to Jira 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.
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
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 Jira through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–Reltio connection.
Changes in Jira or Reltio instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira 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 Jira or Reltio record.
Track your Jira ⇄ Reltio sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira 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 Jira 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 Jira 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 Jira and Reltio: authenticate both systems, choose the objects to sync (such as Jira's Versions and Components), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Jira and Reltio: Turn rows into the records your tools track; Land tool activity as queryable rows; One integration pattern instead of per-tool API code. A new or changed row in Reltio creates or updates the matching record in Jira, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Jira: REST API v2 and v3 plus the Jira Software (Agile) REST API. Authentication: OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token. Reltio: 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). Stacksync manages authentication, retries, and rate limits on both sides.
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. Jira: The v3 REST API represents description and comment bodies as Atlassian Document Format (ADF) JSON; v2 uses plain-text / wiki-markup strings. Stacksync's field mapping accounts for these differences between Jira 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 Jira and Reltio records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jira and Reltio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jira–Reltio integration in-house.
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 310 integrations available for Jira and Reltio.