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Business productivity ⇄ Data warehouse

Atlassian to Google Cloud Platform integration — real-time, two-way sync

Keep Atlassian and Google Cloud Platform 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 Atlassian and Google Cloud Platform

Get the data locked inside Atlassian into Google Cloud Platform 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 Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints from Atlassian into tables in Google Cloud Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Google Cloud Platform can also be written back into fields in Atlassian where the tool can use them.

Common use cases

  • Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
  • Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
  • Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Where Atlassian accepts updates: operational write-back

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

History that outlives the tool

A continuously synced copy in Google Cloud Platform 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 Google Cloud Platform as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between Atlassian and Google Cloud Platform

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 Google Cloud Platform objects
Users and Groups Assignees and reporters matched to identities in other tools. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services.
Confluence Pages Documentation content readable and writable through the Confluence REST API. Pub/Sub topics Event streams used to move change events between systems in near real time.
Confluence Spaces Namespaces that scope page syncs and permissions. Firestore documents Document data read and written through the Firestore API for app-facing syncs.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset.
Boards and Sprints Agile structures read to report on sprint contents and status. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL.
What ships with Atlassian ⇄ Google Cloud Platform

Connect Atlassian and Google Cloud Platform for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Google Cloud Platform 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 Google Cloud Platform record.

Observability

Monitoring

Track your Atlassian ⇄ Google Cloud Platform 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 Google Cloud Platform.

How the Atlassian and Google Cloud Platform 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

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

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

    Choose tables

    Pick the Atlassian and Google Cloud Platform 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 ⇄ Google Cloud Platform
    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 Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and Google Cloud Platform 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 Google Cloud Platform.

Popular · 8 of 386
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