Skip to content
Developer tools ⇄ Business productivity

Google Pubsub to Google Sheets integration — real-time, two-way sync

Keep Google Pubsub 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
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Google Pubsub and Google Sheets

Connect the tickets, records, and events in Google Sheets to the systems engineering runs in Google Pubsub, kept current in real time and in both directions.

Google Sheets is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Google Pubsub 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 Cell values, Spreadsheets, Sheets (tabs), Rows in Google Sheets with Topics, Subscriptions, Messages, Schemas in Google Pubsub 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.

Common use cases

  • 01 Use a sheet as a lightweight intake form whose rows become records in a production database.
  • 02 Reconcile finance or billing exports against system-of-record data in one collaborative surface.
  • 03 Bridge order or billing events off a topic into an ERP or ticketing system as they arrive, mapping message attributes to target fields.
  • 04 Attach an Avro or Protocol Buffer schema to a topic so every message Stacksync publishes is validated against an agreed contract.

Common sync patterns

Where Google Pubsub is the directory or identity source: one set of users

People and accounts in Google Sheets stay matched to the users in Google Pubsub, so access, provisioning, and org changes propagate instead of being keyed in twice.

Where Google Pubsub watches operations: live volumes for visibility

Open items, throughput, and error counts from Google Sheets replicate into Google Pubsub, so the operational view reflects what is actually happening in the business.

One shared record across both systems

Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.

What you can sync between Google Pubsub 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.

Google Pubsub objects Google Sheets objects How this pairing syncs
Topics Named resource publishers send to; Stacksync publishes each record change as a message to a topic for downstream subscribers to consume. Rows Treated as records; a header row usually defines field names. Topics is specific to Google Pubsub and Rows to Google Sheets — each maps to any object or custom field on the other side.
Subscriptions A stream of messages from one topic; Stacksync consumes here via StreamingPull or a push endpoint, acknowledging each message after a successful write. Ranges Addressed in A1 notation for batched reads and writes. Subscriptions is specific to Google Pubsub and Ranges to Google Sheets — each maps to any object or custom field on the other side.
Messages The synced unit: base64-encoded data plus attributes, ordering key, messageId and publishTime; capped at 10 MB each. Named ranges Stable references that keep sync mappings valid when the grid moves. Messages is specific to Google Pubsub and Named ranges to Google Sheets — each maps to any object or custom field on the other side.
Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. Cell values Untyped by default, so syncs handle type coercion for dates and numbers. Schemas is specific to Google Pubsub and Cell values to Google Sheets — each maps to any object or custom field on the other side.
Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. Snapshots is specific to Google Pubsub and Spreadsheets to Google Sheets — each maps to any object or custom field on the other side.
Message attributes Up to 100 key-value pairs per message; carry routing metadata and drive subscription filter expressions. Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. Message attributes is specific to Google Pubsub and Sheets (tabs) to Google Sheets — each maps to any object or custom field on the other side.

How changes propagate between Google Pubsub 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.

Google Pubsub Google Sheets Sub-second propagation

DetectionGoogle Pubsub notifies Stacksync of record changes through webhook events. Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST.

DeliveryEach detected change is written to Google Sheets through its API, with automatic retries and rate-limit backoff.

Google Sheets Google Pubsub 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 Google Pubsub through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Google Pubsub: Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key.
  • Google Sheets: Subject to per-minute read and write quotas per project and per user, so large syncs are batched.
What ships with Google Pubsub ⇄ Google Sheets

Connect Google Pubsub and Google Sheets for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Pubsub–Google Sheets connection.

Real-time

Two-way sync

Changes in Google Pubsub or Google Sheets instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Pubsub 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 Google Pubsub or Google Sheets record.

Observability

Monitoring

Track your Google Pubsub ⇄ 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 Google Pubsub and Google Sheets.

How the Google Pubsub and Google Sheets connectors work

Google Pubsub

Integration surface
REST and gRPC (Cloud Pub/Sub API v1)
Authentication
Google Cloud IAM via OAuth 2.0 / service-account credentials (JSON key or workload identity); requires roles such as pubsub.publisher and pubsub.subscriber
Change detection
Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST; no modified-date polling
Capabilities
read · write · webhooks
Rate limits
Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key

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 Google Pubsub 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.

  1. 01

    Connect your apps

    Authenticate Google Pubsub 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Pubsub connected
    Google Sheets connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Pubsub 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Pubsub ⇄ Google Sheets
    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
    Google Pubsub Google Sheets
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Google Pubsub and Google Sheets integration FAQ

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

Every pair below is a real-time, two-way sync. Search all 325 integrations available for Google Pubsub and Google Sheets.

Popular · 8 of 325
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.