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Data warehouse ⇄ Business productivity

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

Keep Amazon Redshift 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 Redshift and Atlassian

Get the data locked inside Atlassian into Amazon Redshift 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 Workflows and Statuses, Users and Groups, Confluence Pages, Confluence Spaces from Atlassian into tables in Amazon Redshift continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Amazon Redshift can also be written back into fields in Atlassian where the tool can use them.

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.
  • Publish finance rollups computed in Redshift back to spreadsheets or operational tools.
  • Feed customer 360 tables built in Redshift to support and success platforms.

History that outlives the tool

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

Analytics on Atlassian's data

Records and events from Atlassian land in Amazon Redshift as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

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

What you can sync between Amazon Redshift 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 Redshift objects Atlassian objects
Schemas Namespaces used to organize synced tables and control grants. Workflows and Statuses Status transitions mapped to stages in the paired system.
Tables Columnar tables used as sync destinations for SaaS and database data. Users and Groups Assignees and reporters matched to identities in other tools.
Views SQL views readable as modeled sources for reverse syncs. Confluence Pages Documentation content readable and writable through the Confluence REST API.
Materialized Views Precomputed results that downstream syncs can read for performance. Confluence Spaces Namespaces that scope page syncs and permissions.
External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers.
Stored Procedures SQL procedures sometimes invoked around load steps. Jira Projects Containers that scope issues, workflows, and permissions for a sync.
What ships with Amazon Redshift ⇄ Atlassian

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Redshift 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 Redshift or Atlassian record.

Observability

Monitoring

Track your Amazon Redshift ⇄ 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 Redshift and Atlassian.

How the Amazon Redshift and Atlassian connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

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 Redshift 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 Redshift 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 Redshift connected
    Atlassian connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon Redshift 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 Redshift and Atlassian.

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