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Business productivity ⇄ Database

Atlassian to Scaleway Postgres integration — real-time, two-way sync

Keep Atlassian and Scaleway Postgres 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 Scaleway Postgres

Mirror Atlassian's data into Scaleway Postgres 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 Scaleway Postgres.

Stacksync mirrors Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints from Atlassian into Columns, Tables, Views, Materialized views in Scaleway Postgres 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.
  • Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
  • Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records

Read Atlassian with a query

Records from Atlassian are ordinary rows in Scaleway Postgres; 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 Scaleway Postgres and Stacksync propagates the change into Atlassian, replacing custom integration code.

React to changes as they happen

Updates in Atlassian arrive as row changes in Scaleway Postgres, so triggers, jobs, and services can respond in near real time.

What you can sync between Atlassian and Scaleway Postgres

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 Scaleway Postgres objects
Boards and Sprints Agile structures read to report on sprint contents and status. Materialized views Precomputed result sets that can be read on a schedule for downstream syncs.
Issue Comments Threaded discussion synced into linked tickets in external systems. Schemas Namespace tables so multiple applications or environments can be synced selectively.
Attachments Files on issues mirrored to paired records where needed. Sequences Generate primary keys; sync tooling must respect them when writing rows.
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system.
Workflows and Statuses Status transitions mapped to stages in the paired system. Tables Primary sync unit; each table maps to an object or table on the other side of the sync.
Users and Groups Assignees and reporters matched to identities in other tools. Views Read-only sources for shaping data before it leaves the database.
What ships with Atlassian ⇄ Scaleway Postgres

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Scaleway Postgres 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 Scaleway Postgres record.

Observability

Monitoring

Track your Atlassian ⇄ Scaleway Postgres 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 Scaleway Postgres.

How the Atlassian and Scaleway Postgres 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

Scaleway Postgres

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials (username/password over TLS)
Change detection
Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by instance size and connection limits rather than API quotas
How it works

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

    Choose tables

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

Atlassian and Scaleway Postgres 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.

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 Scaleway Postgres.

Popular · 8 of 386
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