Two-way sync
Changes in Google Cloud Platform or Google Sheets instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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.
Whatever Google Sheets 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 Cell values, Spreadsheets, Sheets (tabs), Rows from Google Sheets 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 Google Sheets where the tool can use them.
Combine Google Sheets's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Google Cloud Platform sync back onto records in Google Sheets, putting analysis where the work happens.
A continuously synced copy in Google Cloud Platform preserves a queryable record even as data ages out of Google Sheets or gets changed inside it.
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 Cloud Platform objects | Google Sheets objects | |
|---|---|---|
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Rows Treated as records; a header row usually defines field names. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Ranges Addressed in A1 notation for batched reads and writes. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Named ranges Stable references that keep sync mappings valid when the grid moves. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Cell values Untyped by default, so syncs handle type coercion for dates and numbers. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Google Sheets connection.
Changes in Google Cloud Platform or Google Sheets instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Google Sheets 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 Cloud Platform or Google Sheets record.
Track your Google Cloud Platform ⇄ Google Sheets sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Google Sheets.
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 Cloud Platform 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.
Pick the Google Cloud Platform 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.
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 Cloud Platform and Google Sheets: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery tables and Cloud SQL databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and Google Sheets. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Platform: 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. On Google Sheets: Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Sheets side: Cell values, Spreadsheets, Sheets (tabs), Rows, plus custom fields where Google Sheets exposes them. On the Google Cloud Platform side: BigQuery datasets, BigQuery tables, Cloud SQL databases, Cloud Storage objects. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Google Cloud Platform and Google Sheets: Cross-tool reporting; Where Google Sheets accepts updates: operational write-back; History that outlives the tool. Combine Google Sheets's data with data from every other synced system to answer questions no single tool can.
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 386 integrations available for Google Cloud Platform and Google Sheets.