Real-time
Two-way sync
Changes in Atlassian or Google Sheets instantly reflect in both systems. No stale data, no manual imports.
Business productivity
Atlassian to Google Sheets integration — real-time, two-way sync
Keep Atlassian and Google Sheets 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Atlassian and Google Sheets
Stop re-entering the same information in Atlassian and Google Sheets: Stacksync keeps the records they share consistent in real time, in both directions.
Two tools in the daily stack often hold overlapping information: the same people, the same companies, or the same pieces of work, described twice. The tools do different jobs, so consolidating is not the answer; the overlap just needs to stop drifting.
Stacksync syncs Jira Issues, Jira Projects, Boards and Sprints, Issue Comments in Atlassian with Ranges, Named ranges, Cell values, Spreadsheets in Google Sheets in real time. You choose which records overlap, map the fields that should match, and pick a direction or let changes flow both ways. From then on, an update made in either tool is reflected in the other within seconds, without exports or copy-paste.
Because the sync is field-level, each tool keeps its own extras; only the shared data is held in agreement.
Common use cases
- 01 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- 02 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
- 03 Give ops and finance teams an editable spreadsheet view of CRM or database records, with edits written back to the source.
- 04 Publish pipeline, revenue, or inventory snapshots from a warehouse into a shared sheet for reporting.
Common sync patterns
Where Google Sheets is where the team documents or plans: keep its data fed
Information that originates in Atlassian stays current in Google Sheets instead of going stale after a one-time paste.
Handoffs between teams
When work started in one tool continues in the other, the shared fields travel with it automatically.
Where both tools track people or companies: one consistent record
Contact and company details corrected in either tool update the other, so nobody works from the old version.
What you can sync between Atlassian and Google Sheets
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 Sheets objects | How this pairing syncs | |
|---|---|---|---|
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Cell values Untyped by default, so syncs handle type coercion for dates and numbers. | Jira Projects is specific to Atlassian and Cell values to Google Sheets — each maps to any object or custom field on the other side. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. | Boards and Sprints is specific to Atlassian and Spreadsheets to Google Sheets — each maps to any object or custom field on the other side. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. | Issue Comments is specific to Atlassian and Sheets (tabs) to Google Sheets — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | Rows Treated as records; a header row usually defines field names. | Attachments is specific to Atlassian and Rows to Google Sheets — each maps to any object or custom field on the other side. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Ranges Addressed in A1 notation for batched reads and writes. | Custom Fields is specific to Atlassian and Ranges to Google Sheets — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Named ranges Stable references that keep sync mappings valid when the grid moves. | Workflows and Statuses is specific to Atlassian and Named ranges to Google Sheets — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Google Sheets
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.
Atlassian Google Sheets 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 written to Google Sheets through its API, with automatic retries and rate-limit backoff.
Google Sheets Atlassian Interval-based propagation
DetectionStacksync polls Google Sheets for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Google Sheets: Subject to per-minute read and write quotas per project and per user, so large syncs are batched.
What ships with Atlassian ⇄ Google Sheets
Connect Atlassian and Google Sheets for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Google Sheets connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Google Sheets 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 Sheets record.
Observability
Monitoring
Track your Atlassian ⇄ Google Sheets 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 Sheets.
How the Atlassian and Google Sheets 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 Sheets
- Integration surface
- REST API (Google Sheets API), with file-level change signals available through the Drive API
- Authentication
- OAuth 2.0 (user consent) or Google service accounts
- Change detection
- Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes
- Capabilities
- read · write
- Rate limits
- Subject to per-minute read and write quotas per project and per user, so large syncs are batched.
How it works
How to connect Atlassian to Google Sheets — 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.
- 01
Connect your apps
Authenticate Atlassian and Google Sheets with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
Google Sheets
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Google Sheets 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.
objects · Atlassian ⇄ Google SheetsCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Atlassian Google SheetsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Google Sheets integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Google Sheets: authenticate both systems, choose the objects to sync (such as Atlassian's Jira Projects and Boards and Sprints), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Atlassian and Google Sheets: Where Google Sheets is where the team documents or plans: keep its data fed; Handoffs between teams; Where both tools track people or companies: one consistent record. Information that originates in Atlassian stays current in Google Sheets instead of going stale after a one-time paste.
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Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. Google Sheets: REST API (Google Sheets API), with file-level change signals available through the Drive API. Authentication: OAuth 2.0 (user consent) or Google service accounts. Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: JQL supports querying issues by updated time, which gives polling syncs a reliable incremental cursor. Google Sheets: Cells are untyped, so a reliable sync must normalize dates, numbers, and empty cells rather than trusting cell formatting. Stacksync's field mapping accounts for these differences between Atlassian and Google Sheets without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Atlassian and Google Sheets records are not retained after a sync operation.
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.
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:
Related integrations
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Atlassian ⇄ Agiloft -
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Google Sheets ⇄ ConnectWise
No integrations match .
