Two-way sync
Changes in Google Sheets or Jira instantly reflect in both systems. No stale data, no manual imports.
Keep Google Sheets and Jira in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Google Sheets is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jira is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Spreadsheets, Sheets (tabs), Rows, Ranges in Google Sheets with Versions, Components, Users, Issues in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
Records created or changed in Google Sheets publish to the queue or topic in Jira as they happen, so downstream services react to real events rather than polling for them.
People and accounts in Google Sheets stay matched to the users in Jira, so access, provisioning, and org changes propagate instead of being keyed in twice.
Open items, throughput, and error counts from Google Sheets replicate into Jira, so the operational view reflects what is actually happening in the business.
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.
| Google Sheets objects | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Cell values Untyped by default, so syncs handle type coercion for dates and numbers. | Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Cell values is specific to Google Sheets and Worklogs to Jira — each maps to any object or custom field on the other side. | |
| Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. | Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Spreadsheets is specific to Google Sheets and Sprints to Jira — each maps to any object or custom field on the other side. | |
| Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. | Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Sheets (tabs) is specific to Google Sheets and Versions to Jira — each maps to any object or custom field on the other side. | |
| Rows Treated as records; a header row usually defines field names. | Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Rows is specific to Google Sheets and Components to Jira — each maps to any object or custom field on the other side. | |
| Ranges Addressed in A1 notation for batched reads and writes. | Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Ranges is specific to Google Sheets and Users to Jira — each maps to any object or custom field on the other side. | |
| Named ranges Stable references that keep sync mappings valid when the grid moves. | Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. | Named ranges is specific to Google Sheets and Issues to Jira — each maps to any object or custom field on the other side. |
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.
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 Jira through its API, with automatic retries and rate-limit backoff.
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
DeliveryEach detected change is written to Google Sheets through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Sheets–Jira connection.
Changes in Google Sheets or Jira instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Sheets or Jira data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Sheets or Jira record.
Track your Google Sheets ⇄ Jira sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Sheets and Jira.
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.
Authenticate Google Sheets and Jira with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Google Sheets and Jira 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Google Sheets and Jira: authenticate both systems, choose the objects to sync (such as Google Sheets's Cell values and Spreadsheets), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Sheets: A spreadsheet is capped at 10 million cells across all of its tabs, which bounds how much data a sheet-based sync can hold. Jira: Webhook delivery is best-effort with no retry, so JQL polling on the issue updated field is used to reconcile any missed events. Stacksync's field mapping accounts for these differences between Google Sheets and Jira without custom code.
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 Google Sheets and Jira records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Sheets and Jira connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Sheets–Jira integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Sheets and Jira. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Sheets: Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes. On Jira: Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 392 integrations available for Google Sheets and Jira.