Skip to content
Business productivity ⇄ Data warehouse

Atlassian to AWS S3 integration — real-time, two-way sync

Keep Atlassian and AWS S3 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 AWS S3

Get the data locked inside Atlassian into AWS S3 as live tables, and send results back where Atlassian can use them, without writing a pipeline.

Whatever Atlassian is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Boards and Sprints, Issue Comments, Attachments, Custom Fields from Atlassian into tables in AWS S3 continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in AWS S3 can also be written back into fields in Atlassian where the tool can use them.

Common use cases

  • Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
  • Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
  • Stage bulk loads for warehouses that ingest from object storage.
  • Archive change history from ongoing syncs as timestamped files for audit and replay.

Cross-tool reporting

Combine Atlassian's data with data from every other synced system to answer questions no single tool can.

Where Atlassian accepts updates: operational write-back

Segments, scores, or reference values computed in AWS S3 sync back onto records in Atlassian, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in AWS S3 preserves a queryable record even as data ages out of Atlassian or gets changed inside it.

What you can sync between Atlassian and AWS S3

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 AWS S3 objects
Confluence Pages Documentation content readable and writable through the Confluence REST API. Access Points Scoped network endpoints used to grant a sync narrow access to a bucket.
Confluence Spaces Namespaces that scope page syncs and permissions. Multipart Uploads The mechanism used to write large export files reliably.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Buckets Top-level containers a sync targets; region and policy are set at this level.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them.
Boards and Sprints Agile structures read to report on sprint contents and status. Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories.
Issue Comments Threaded discussion synced into linked tickets in external systems. Object Metadata System and user-defined metadata read alongside object contents.
What ships with Atlassian ⇄ AWS S3

Connect Atlassian and AWS S3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–AWS S3 connection.

Real-time

Two-way sync

Changes in Atlassian or AWS S3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or AWS S3 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 AWS S3 record.

Observability

Monitoring

Track your Atlassian ⇄ AWS S3 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 AWS S3.

How the Atlassian and AWS S3 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

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes
How it works

How to connect Atlassian to AWS S3 — 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 AWS S3 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
    AWS S3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Atlassian and AWS S3 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 ⇄ AWS S3
    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 AWS S3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Atlassian and AWS S3 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 Atlassian and AWS S3.

Popular · 8 of 386
All Atlassian integrations All AWS S3 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