Two-way sync
Changes in Jira or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Keep Jira and YugabyteDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
YugabyteDB 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 Schemas, Sequences, CDC Streams, Databases and Keyspaces in YugabyteDB with Versions, Components, Users, Issues 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.
Records and events from Jira arrive in YugabyteDB 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 YugabyteDB and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Jira arrive as row changes in YugabyteDB, and writes to YugabyteDB propagate to Jira within seconds, so triggers, jobs, and alerts fire without polling.
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 | YugabyteDB objects | How this pairing syncs | |
|---|---|---|---|
| Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. | Users is specific to Jira and CDC Streams to YugabyteDB — 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. | Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. | Issues is specific to Jira and Databases and Keyspaces to YugabyteDB — 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. | Tables Distributed SQL tables split into tablets; the primary read and write targets. | Projects is specific to Jira and Tables to YugabyteDB — 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. | Indexes Global secondary indexes maintained transactionally alongside table writes. | Comments is specific to Jira and Indexes to YugabyteDB — each maps to any object or custom field on the other side. | |
| Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Materialized Views Precomputed query results available in YSQL for read-side shaping. | Worklogs is specific to Jira and Materialized Views to YugabyteDB — each maps to any object or custom field on the other side. | |
| Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | Sprints is specific to Jira and Schemas to YugabyteDB — 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 applied to YugabyteDB as a row-level write, with types converted between the two schemas.
DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.
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–YugabyteDB connection.
Changes in Jira or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira or YugabyteDB 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 YugabyteDB record.
Track your Jira ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira and YugabyteDB.
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 YugabyteDB 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 YugabyteDB 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 YugabyteDB: authenticate both systems, choose the objects to sync (such as Jira's Users and Issues), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the YugabyteDB side: Schemas, Sequences, CDC Streams, Databases and Keyspaces, plus custom fields where YugabyteDB exposes them. On the Jira side: Versions, Components, Users, Issues. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Jira and YugabyteDB: Land tool activity as queryable rows; One integration pattern instead of per-tool API code; React to changes on either side in near real time. Records and events from Jira arrive in YugabyteDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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. YugabyteDB: SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
YugabyteDB: A second, Cassandra-compatible API (YCQL) is available alongside YSQL on the same cluster. Jira: Webhook delivery is best-effort with no retry, so JQL polling on the issue updated field is used to reconcile any missed events. Stacksync's field mapping accounts for these differences between Jira and YugabyteDB without custom code.
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 308 integrations available for Jira and YugabyteDB.