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Database ⇄ Business productivity

Amazon Aurora to Atlassian integration — real-time, two-way sync

Keep Amazon Aurora and Atlassian 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 Amazon Aurora and Atlassian

Mirror Atlassian's data into Amazon Aurora 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 Amazon Aurora.

Stacksync mirrors Issue Comments, Attachments, Custom Fields, Workflows and Statuses from Atlassian into Schemas, Tables, Views, Materialized Views in Amazon Aurora 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

  • Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
  • Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
  • Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.
  • Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.

Read Atlassian with a query

Records from Atlassian are ordinary rows in Amazon Aurora; 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 Amazon Aurora 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 Amazon Aurora, so triggers, jobs, and services can respond in near real time.

What you can sync between Amazon Aurora and Atlassian

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.

Amazon Aurora objects Atlassian objects
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Boards and Sprints Agile structures read to report on sprint contents and status.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Issue Comments Threaded discussion synced into linked tickets in external systems.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Attachments Files on issues mirrored to paired records where needed.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs.
Databases Logical databases within a cluster that scope a sync connection. Workflows and Statuses Status transitions mapped to stages in the paired system.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Users and Groups Assignees and reporters matched to identities in other tools.
What ships with Amazon Aurora ⇄ Atlassian

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Atlassian 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 Amazon Aurora or Atlassian record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Atlassian sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Atlassian.

How the Amazon Aurora and Atlassian connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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
How it works

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

    Choose tables

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

Amazon Aurora and Atlassian integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Amazon Aurora and Atlassian.

Popular · 8 of 386
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