Two-way sync
Changes in Atlassian or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 SQL Server.
Stacksync mirrors Workflows and Statuses, Users and Groups, Confluence Pages, Confluence Spaces from Atlassian into Databases, Schemas, Tables, Views in SQL Server 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.
Records from Atlassian are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in SQL Server and Stacksync propagates the change into Atlassian, replacing custom integration code.
Updates in Atlassian arrive as row changes in SQL Server, so triggers, jobs, and services can respond in near real time.
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 | SQL Server objects | |
|---|---|---|
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Databases Instance-level databases that scope a sync's reads and writes. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Schemas Namespaces (dbo and custom) used to organize synced tables. | |
| Attachments Files on issues mirrored to paired records where needed. | Tables The primary sync target; rows map to records in connected systems. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Views Read-side projections used as outbound sync sources. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–SQL Server connection.
Changes in Atlassian or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Atlassian or SQL Server record.
Track your Atlassian ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and SQL Server.
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.
Authenticate Atlassian and SQL Server with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Atlassian and SQL Server 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and SQL Server: authenticate both systems, choose the objects to sync (such as Atlassian's Jira Issues and Jira Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Atlassian side: Workflows and Statuses, Users and Groups, Confluence Pages, Confluence Spaces, plus custom fields where Atlassian exposes them. On the SQL Server side: Databases, Schemas, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Atlassian and SQL Server: Read Atlassian with a query; Automate Atlassian from your codebase; React to changes as they happen. Records from Atlassian are ordinary rows in SQL Server; 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. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
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. SQL Server: CDC setup requires a one-time script run by a DBA with sysadmin privileges. Stacksync's field mapping accounts for these differences between Atlassian and SQL Server without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Atlassian and SQL Server.