Skip to content
Developer tools ⇄ Database

Jira to YugabyteDB integration — real-time, two-way sync

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.

  • 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 Jira and YugabyteDB

Keep YugabyteDB and Jira in step: the rows in your database and the Versions, Components, Users, Issues your engineering tools track stay consistent in real time, in both directions.

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.

Common use cases

  • 01 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
  • 02 Two-way sync between YugabyteDB application tables and a CRM so product data and account records stay consistent.
  • 03 Sync Sprints and Boards with a capacity-planning tool so estimates and iteration scope stay aligned.
  • 04 Consolidate multiple Jira Projects or sites into one database, mapping Projects, Components, and Versions for cross-team reporting.

Common sync patterns

Land tool activity as queryable rows

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.

One integration pattern instead of per-tool API code

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.

React to changes on either side in near real time

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.

What you can sync between Jira and YugabyteDB

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.

How changes propagate between Jira and YugabyteDB

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.

Jira YugabyteDB Sub-second propagation

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.

YugabyteDB Jira Sub-second propagation

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.

Rate-limit considerations

  • Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
  • YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with Jira ⇄ YugabyteDB

Connect Jira and YugabyteDB for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Jira or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jira or YugabyteDB 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 Jira or YugabyteDB record.

Observability

Monitoring

Track your Jira ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jira and YugabyteDB.

How the Jira and YugabyteDB connectors work

Jira

Integration surface
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
Change detection
Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback.
Capabilities
read · write · webhooks
Rate limits
Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.

YugabyteDB

Integration surface
SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
Authentication
Database credentials
Change detection
Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works

How to connect Jira to YugabyteDB — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Jira connected
    YugabyteDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Jira ⇄ YugabyteDB
    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
    Jira YugabyteDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Jira and YugabyteDB 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.

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 308 integrations available for Jira and YugabyteDB.

Popular · 8 of 308
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.