Real-time
Two-way sync
Changes in Atlassian or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
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
- 01 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
- 02 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- 03 Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
- 04 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Boards and Sprints is specific to Atlassian and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Issue Comments is specific to Atlassian and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Attachments is specific to Atlassian and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| 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. | Custom Fields is specific to Atlassian and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| 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. | Workflows and Statuses is specific to Atlassian and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Views Read-only sources for shaping data before it leaves the database. | Users and Groups is specific to Atlassian and Views to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Scaleway Postgres
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.
Atlassian Scaleway Postgres Sub-second propagation
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Atlassian Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
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.
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.
- 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.
Atlassian
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Atlassian ⇄ Scaleway PostgresCustomers 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 Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Atlassian's Boards and Sprints and Issue Comments), 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 Scaleway Postgres: Read Atlassian with a query; Automate Atlassian from your codebase; React to changes as they happen. Records from Atlassian are ordinary rows in Scaleway Postgres; join them, index them, and use them in application logic without touching the vendor API.
-
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. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: Issue transitions are workflow-controlled, so writes that change status must call the transitions endpoint with a valid target state rather than setting the field directly. Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. Stacksync's field mapping accounts for these differences between Atlassian and Scaleway Postgres 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 Scaleway Postgres records are not retained after a sync operation.
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 381 integrations available for Atlassian and Scaleway Postgres.
Popular · 6 of 381
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Atlassian ⇄ MySQL -
Atlassian ⇄ MariaDB -
Atlassian ⇄ SQL Server -
Atlassian ⇄ Postgres Heroku -
Scaleway Postgres ⇄ Microsoft Teams -
Scaleway Postgres ⇄ Orderful
No integrations match .
