Skip to content
Business productivity ⇄ Database

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

Keep Atlassian and MariaDB 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Atlassian and MariaDB

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

Connecting Atlassian to MariaDB gives engineering and operations teams a queryable SQL mirror of Jira. Jira Issues, Boards and Sprints, and Custom Fields land in MariaDB Tables, where they can be joined with internal data, exposed through Views, and audited over time with System-Versioned Tables.

Stacksync mirrors Jira Issues, Jira Projects, Boards and Sprints, Issue Comments from Atlassian into Primary and Unique Keys, System-Versioned Tables, JSON Columns, Stored Procedures in MariaDB 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 Analysts query Jira Projects with plain SQL instead of the Jira API or CSV exports.
  • 02 Custom Fields map to typed Columns so issue metadata is validated and joinable with other databases.
  • 03 Write-back from MariaDB updates Jira Issues in bulk after batch corrections in the database.
  • 04 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.

Common sync patterns

Jira-to-SQL mirror

Jira Issues and Issue Comments replicate into MariaDB Tables keyed on Primary and Unique Keys for reliable upserts.

Sprint reporting layer

Boards and Sprints data feeds MariaDB Views that power internal velocity and throughput reports.

Historical issue audit

System-Versioned Tables retain every state change of synced Jira Issues for point-in-time analysis.

What you can sync between Atlassian and MariaDB

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 MariaDB objects How this pairing syncs
Confluence Spaces Namespaces that scope page syncs and permissions. Primary and Unique Keys Match keys for idempotent upserts. Confluence Spaces is specific to Atlassian and Primary and Unique Keys to MariaDB — 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. System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. Jira Issues is specific to Atlassian and System-Versioned Tables to MariaDB — each maps to any object or custom field on the other side.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. JSON Columns Semi-structured payloads validated with JSON functions. Jira Projects is specific to Atlassian and JSON Columns to MariaDB — 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. Stored Procedures Server-side logic that can post-process synced rows. Boards and Sprints is specific to Atlassian and Stored Procedures to MariaDB — each maps to any object or custom field on the other side.
Issue Comments Threaded discussion synced into linked tickets in external systems. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. Issue Comments is specific to Atlassian and Databases (Schemas) to MariaDB — 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 MariaDB — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and MariaDB

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

MariaDB Atlassian Sub-second propagation

DetectionChanges in MariaDB 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.

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

Rate-limit considerations

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

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or MariaDB 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 MariaDB record.

Observability

Monitoring

Track your Atlassian ⇄ MariaDB 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 MariaDB.

How the Atlassian and MariaDB 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

MariaDB

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

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

    Choose tables

    Pick the Atlassian and MariaDB 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 ⇄ MariaDB
    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 MariaDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Atlassian and MariaDB 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 381 integrations available for Atlassian and MariaDB.

Popular · 7 of 381
All Atlassian integrations All MariaDB integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own