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Business productivity ⇄ Database

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

Keep Atlassian and Google Cloud Spanner 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 Spanner

Mirror Atlassian's data into Google Cloud Spanner 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 Google Cloud Spanner.

Stacksync mirrors Jira Projects, Boards and Sprints, Issue Comments, Attachments from Atlassian into Change streams, Views, Databases, Tables in Google Cloud Spanner 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.
  • Run a two-way sync between Spanner and a SaaS tool so edits made by ops teams land back in the application database.
  • Consolidate data from a globally distributed Spanner deployment into regional business systems.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Atlassian with a query

Records from Atlassian are ordinary rows in Google Cloud Spanner; 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 Google Cloud Spanner and Stacksync propagates the change into Atlassian, replacing custom integration code.

What you can sync between Atlassian and Google Cloud Spanner

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 Spanner objects
Confluence Spaces Namespaces that scope page syncs and permissions. Views Read-only projections useful for shaping data before it leaves Spanner.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Databases Top-level containers that scope schema and sync configuration.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Tables Relational tables mapped one-to-one to sync targets.
Boards and Sprints Agile structures read to report on sprint contents and status. Rows The unit of read and write in each sync cycle, keyed by primary key.
Issue Comments Threaded discussion synced into linked tickets in external systems. Interleaved tables Child rows physically co-located with parents; synced as related records.
Attachments Files on issues mirrored to paired records where needed. Secondary indexes Used to make incremental read queries efficient on non-key columns.
What ships with Atlassian ⇄ Google Cloud Spanner

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

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

Real-time

Two-way sync

Changes in Atlassian or Google Cloud Spanner 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 Spanner 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 Spanner record.

Observability

Monitoring

Track your Atlassian ⇄ Google Cloud Spanner 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 Spanner.

How the Atlassian and Google Cloud Spanner 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 Spanner

Integration surface
gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
Authentication
Google Cloud IAM (service accounts)
Change detection
Change streams (log-style CDC), or timestamp-based polling queries
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
How it works

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

    Choose tables

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

Atlassian and Google Cloud Spanner 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 Spanner.

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