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Database ⇄ Business productivity

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

Keep Amazon RDS 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 RDS and Atlassian

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

Engineering and operations teams sync Atlassian data into Amazon RDS to report on delivery with SQL. Jira Issues, Boards and Sprints, and Custom Fields land in RDS Tables with defined Columns and keys, so BI tools and internal apps query project state without hitting Jira APIs.

Stacksync mirrors Jira Issues, Jira Projects, Boards and Sprints, Issue Comments from Atlassian into Primary and Unique Keys, Read Replicas, Stored Procedures, Databases in Amazon RDS 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 Join Jira Projects to customer or revenue Tables in RDS for cost-of-delivery analysis.
  • 02 Trigger internal workflows from RDS rows when Jira Issues change state.
  • 03 Archive Attachments metadata and comment history in RDS for compliance retention.
  • 04 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.

Common sync patterns

Issue warehouse

Jira Issues and Issue Comments sync into RDS Tables keyed by issue ID for historical reporting.

Sprint metrics

Boards and Sprints data lands in an RDS Schema where teams compute velocity and carryover in SQL.

Custom field reporting

Jira Custom Fields map to RDS Columns so ops dashboards read structured project data.

What you can sync between Amazon RDS 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 RDS objects Atlassian objects How this pairing syncs
Primary and Unique Keys Match keys for idempotent upserts. Workflows and Statuses Status transitions mapped to stages in the paired system. Primary and Unique Keys is specific to Amazon RDS and Workflows and Statuses to Atlassian — each maps to any object or custom field on the other side.
Read Replicas Low-impact read endpoints often used as the source side of a sync. Users and Groups Assignees and reporters matched to identities in other tools. Read Replicas is specific to Amazon RDS and Users and Groups to Atlassian — each maps to any object or custom field on the other side.
Stored Procedures Engine-specific logic that can react to synced rows. Confluence Pages Documentation content readable and writable through the Confluence REST API. Stored Procedures is specific to Amazon RDS and Confluence Pages to Atlassian — each maps to any object or custom field on the other side.
Databases Engine-level databases on the instance that scope a sync's reads and writes. Confluence Spaces Namespaces that scope page syncs and permissions. Databases is specific to Amazon RDS and Confluence Spaces to Atlassian — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to isolate synced tables. Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Schemas is specific to Amazon RDS and Jira Issues to Atlassian — each maps to any object or custom field on the other side.
Tables The core sync target; rows map to records in connected SaaS systems. Jira Projects Containers that scope issues, workflows, and permissions for a sync. Tables is specific to Amazon RDS and Jira Projects to Atlassian — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS and Atlassian

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.

Amazon RDS Atlassian Sub-second propagation

DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.

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

Atlassian Amazon RDS 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 Amazon RDS as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
What ships with Amazon RDS ⇄ Atlassian

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS 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 RDS or Atlassian record.

Observability

Monitoring

Track your Amazon RDS ⇄ 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 RDS and Atlassian.

How the Amazon RDS and Atlassian connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, 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 RDS 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 RDS 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 RDS connected
    Atlassian connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon RDS and Atlassian 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 392 integrations available for Amazon RDS and Atlassian.

Popular · 7 of 392
All Amazon RDS integrations All Atlassian integrations Browse all integrations
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