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Business productivity ⇄ Database

Atlassian to SQL Server integration — real-time, two-way sync

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.

  • 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 SQL Server

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

Teams standardized on Microsoft infrastructure connect Atlassian to SQL Server to mirror project work into the databases behind their internal applications and corporate reporting. Jira Issues and Boards and Sprints land in SQL Server Tables where existing Views can consume them.

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.

Common use cases

  • 01 Query Jira Projects alongside line-of-business data already in SQL Server Schemas.
  • 02 Retain a complete Issue Comments history in SQL Server for audit and compliance reporting.
  • 03 Drive intranet dashboards from Views over synced sprint data without Jira API integration code.
  • 04 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.

Common sync patterns

Issue replication

Jira Issues with Custom Fields sync into SQL Server Tables enforced by Primary and Unique Keys.

Reporting views

Boards and Sprints data populates SQL Server Views that feed existing corporate reporting.

Bidirectional ticket creation

rows inserted into a designated Table in a SQL Server Database create Jira Issues.

What you can sync between Atlassian and SQL Server

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 How this pairing syncs
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 Issues is specific to Atlassian and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side.
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. Jira Projects is specific to Atlassian and Stored Procedures to SQL Server — each maps to any object or custom field on the other side.
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. Boards and Sprints is specific to Atlassian and Databases to SQL Server — each maps to any object or custom field on the other side.
Issue Comments Threaded discussion synced into linked tickets in external systems. Schemas Namespaces (dbo and custom) used to organize synced tables. Issue Comments is specific to Atlassian and Schemas to SQL Server — each maps to any object or custom field on the other side.
Attachments Files on issues mirrored to paired records where needed. Tables The primary sync target; rows map to records in connected systems. Attachments is specific to Atlassian and Tables to SQL Server — 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. Views Read-side projections used as outbound sync sources. Custom Fields is specific to Atlassian and Views to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and SQL Server

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 SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.

SQL Server Atlassian Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Atlassian ⇄ SQL Server

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or SQL Server 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 SQL Server record.

Observability

Monitoring

Track your Atlassian ⇄ SQL Server 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 SQL Server.

How the Atlassian and SQL Server 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

SQL Server

Integration surface
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
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

How to connect Atlassian to SQL Server — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Atlassian connected
    SQL Server connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Atlassian ⇄ SQL Server
    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 SQL Server
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and SQL Server integration FAQ

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.

Learn more about security
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:

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 477 integrations available for Atlassian and SQL Server.

Popular · 8 of 477
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