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Business productivity ⇄ Database

Atlassian to Citus integration — real-time, two-way sync

Keep Atlassian and Citus 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

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Why teams connect Atlassian and Citus

Mirror Atlassian's data into Citus so your own code can read and write it like any other table, with changes flowing both ways in seconds.

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 Citus.

Stacksync mirrors Workflows and Statuses, Users and Groups, Confluence Pages, Confluence Spaces from Atlassian into Reference tables, Local tables, Schemas, Views in Citus 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.

Common use cases

  • Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
  • Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
  • Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
  • Consolidate per-tenant rows from distributed tables into per-customer reporting databases.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Atlassian with a query

Records from Atlassian are ordinary rows in Citus; join them, index them, and use them in application logic without touching the vendor API.

Automate Atlassian from your codebase

Write to the synced tables in Citus and Stacksync propagates the change into Atlassian, replacing custom integration code.

What you can sync between Atlassian and Citus

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 Citus objects
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Schemas Standard Postgres namespaces used to scope what a sync user can read and write.
Workflows and Statuses Status transitions mapped to stages in the paired system. Views Curated projections over distributed data, often used as read-only sync sources.
Users and Groups Assignees and reporters matched to identities in other tools. Sequences Key generators that matter when external writes must not collide with application inserts.
Confluence Pages Documentation content readable and writable through the Confluence REST API. Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets.
Confluence Spaces Namespaces that scope page syncs and permissions. Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables.
What ships with Atlassian ⇄ Citus

Connect Atlassian and Citus for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Atlassian or Citus instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Citus 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 Atlassian or Citus record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Atlassian and Citus.

How the Atlassian and Citus connectors work

Atlassian

Integration surface
REST APIs per product (Jira Cloud and Confluence Cloud)
Authentication
OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
Change detection
Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
Capabilities
read · write · webhooks

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
Capabilities
read · write · CDC
How it works

How to connect Atlassian to Citus — 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 Atlassian and Citus 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
    Atlassian connected
    Citus connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Atlassian and Citus 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 · Atlassian ⇄ Citus
    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
    Atlassian Citus
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and Citus integration FAQ

SECURITY

Security teams love 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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Atlassian and Citus.

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