Real-time
Two-way sync
Changes in Atlassian or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Atlassian to PostgreSQL integration — real-time, two-way sync
Keep Atlassian and PostgreSQL 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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Migrated from Mulesoft
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Atlassian and PostgreSQL
Mirror Atlassian's data into PostgreSQL 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 PostgreSQL.
Stacksync mirrors Attachments, Custom Fields, Workflows and Statuses, Users and Groups from Atlassian into JSONB Columns, Sequences, Custom Types and Enums, Tables in PostgreSQL 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
- Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
- Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- Let an application write to its own database and have those rows appear as records in business systems in near real time
- Consolidate data from several microservice databases into one operational Postgres store
React to changes as they happen
Updates in Atlassian arrive as row changes in PostgreSQL, so triggers, jobs, and services can respond in near real time.
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 PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Atlassian and PostgreSQL
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 | PostgreSQL objects | |
|---|---|---|
| Confluence Spaces Namespaces that scope page syncs and permissions. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Views Read-side projections used to expose joined or filtered data to a sync. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | |
| Attachments Files on issues mirrored to paired records where needed. | Schemas Namespaces that scope which tables a sync reads and writes. |
What ships with Atlassian ⇄ PostgreSQL
Connect Atlassian and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or PostgreSQL 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 PostgreSQL record.
Observability
Monitoring
Track your Atlassian ⇄ PostgreSQL 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 PostgreSQL.
How the Atlassian and PostgreSQL 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
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Atlassian to PostgreSQL — 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.
- 01
Connect your apps
Authenticate Atlassian and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and PostgreSQL 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.
objects · Atlassian ⇄ PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Atlassian PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and PostgreSQL: authenticate both systems, choose the objects to sync (such as Atlassian's Confluence Spaces and Jira Issues), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Atlassian and PostgreSQL: React to changes as they happen; One integration pattern for the whole stack; Read Atlassian with a query. Updates in Atlassian arrive as row changes in PostgreSQL, so triggers, jobs, and services can respond in near real time.
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Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: JQL supports querying issues by updated time, which gives polling syncs a reliable incremental cursor. PostgreSQL: Logical decoding of the write-ahead log (wal_level=logical) provides row-level change capture without adding triggers to user tables. Stacksync's field mapping accounts for these differences between Atlassian and PostgreSQL without custom code.
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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 PostgreSQL records are not retained after a sync operation.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Atlassian and PostgreSQL.
Popular · 8 of 386
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Atlassian ⇄ SAP ASE (Sybase) -
Atlassian ⇄ Scaleway Postgres -
Atlassian ⇄ TiDB -
Atlassian ⇄ TimescaleDB -
PostgreSQL ⇄ ConnectWise -
PostgreSQL ⇄ Aviato -
PostgreSQL ⇄ Customer.io -
PostgreSQL ⇄ eClinicalWorks
No integrations match .
