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Business productivity ⇄ Database

Atlassian to MySQL integration — real-time, two-way sync

Keep Atlassian and MySQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Atlassian and MySQL

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

Teams connect Atlassian and MySQL to work with Jira data as ordinary relational tables. Jira Issues and Jira Projects sync into MySQL Tables with Custom Fields mapped to Columns or JSON Columns, giving internal tools, reports, and back-office jobs direct SQL access to delivery state.

Stacksync mirrors Jira Issues, Jira Projects, Boards and Sprints, Issue Comments from Atlassian into Tables, Views, Columns, Primary and Unique Keys in MySQL 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 Back-office systems already on MySQL consume Jira state without new API integrations.
  • 02 Semi-structured Custom Fields stay queryable through JSON Columns rather than flattened exports.
  • 03 Attachments and Issue Comments metadata is joinable with operational records in the same Databases (Schemas).
  • 04 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.

Common sync patterns

Relational issue sync

Jira Issues upsert into MySQL Tables using Primary and Unique Keys, with flexible metadata in JSON Columns.

Project rollups

Views across synced Jira Projects and Boards and Sprints feed internal dashboards and scheduled reports.

Two-way status updates

status changes written to the MySQL table propagate back to the corresponding Jira Issues.

What you can sync between Atlassian and MySQL

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 MySQL objects How this pairing syncs
Workflows and Statuses Status transitions mapped to stages in the paired system. JSON Columns Validated semi-structured payloads for nested SaaS data. Workflows and Statuses is specific to Atlassian and JSON Columns to MySQL — each maps to any object or custom field on the other side.
Users and Groups Assignees and reporters matched to identities in other tools. Stored Procedures Server-side logic that can post-process synced rows. Users and Groups is specific to Atlassian and Stored Procedures to MySQL — each maps to any object or custom field on the other side.
Confluence Pages Documentation content readable and writable through the Confluence REST API. Triggers An alternative change-capture mechanism when binlog access is unavailable. Confluence Pages is specific to Atlassian and Triggers to MySQL — each maps to any object or custom field on the other side.
Confluence Spaces Namespaces that scope page syncs and permissions. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. Confluence Spaces is specific to Atlassian and Databases (Schemas) to MySQL — each maps to any object or custom field on the other side.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Tables The primary sync target; rows map to records in connected systems. Jira Issues is specific to Atlassian and Tables to MySQL — each maps to any object or custom field on the other side.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Views Read-side projections used as outbound sync sources. Jira Projects is specific to Atlassian and Views to MySQL — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and MySQL

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

MySQL Atlassian Sub-second propagation

DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.

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

Rate-limit considerations

  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Atlassian ⇄ MySQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or MySQL 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 MySQL record.

Observability

Monitoring

Track your Atlassian ⇄ MySQL 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 MySQL.

How the Atlassian and MySQL 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

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

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

    Choose tables

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

Atlassian and MySQL 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 484 integrations available for Atlassian and MySQL.

Popular · 8 of 484
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