Real-time
Two-way sync
Changes in Google Sheets or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Google Sheets to Postgres Heroku integration — real-time, two-way sync
Keep Google Sheets and Postgres Heroku 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 Sheets and Postgres Heroku
Mirror Google Sheets's data into Postgres Heroku 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 Google Sheets 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 Postgres Heroku.
Stacksync mirrors Rows, Ranges, Named ranges, Cell values from Google Sheets into Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku 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 Google Sheets, so the tool and the database never disagree.
Common use cases
- Use a sheet as a lightweight intake form whose rows become records in a production database.
- Reconcile finance or billing exports against system-of-record data in one collaborative surface.
- Keep several Heroku app databases aligned with one system of record
- Reflect billing and subscription records into the app database so product logic reads local rows
Automate Google Sheets from your codebase
Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Google Sheets, replacing custom integration code.
React to changes as they happen
Updates in Google Sheets arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.
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.
What you can sync between Google Sheets and Postgres Heroku
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 | Postgres Heroku objects | |
|---|---|---|
| Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. | Views Read-side projections exposed to outbound syncs. | |
| Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. | Materialized Views Precomputed result sets synced outward on refresh. | |
| Rows Treated as records; a header row usually defines field names. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Ranges Addressed in A1 notation for batched reads and writes. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Named ranges Stable references that keep sync mappings valid when the grid moves. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Cell values Untyped by default, so syncs handle type coercion for dates and numbers. | Sequences Generate surrogate keys for rows created by inbound syncs. |
What ships with Google Sheets ⇄ Postgres Heroku
Connect Google Sheets and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Sheets–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Google Sheets or Postgres Heroku 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 Sheets or Postgres Heroku record.
Observability
Monitoring
Track your Google Sheets ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Google Sheets and Postgres Heroku.
How the Google Sheets and Postgres Heroku connectors work
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.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Google Sheets to Postgres Heroku — 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 Google Sheets and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Google Sheets
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Google Sheets and Postgres Heroku 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 · Google Sheets ⇄ Postgres HerokuCustomers 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.
Google Sheets Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Google Sheets and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Google Sheets and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Google Sheets's Spreadsheets and Sheets (tabs)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Google Sheets and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Google Sheets: Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Google Sheets side: Rows, Ranges, Named ranges, Cell values, plus custom fields where Google Sheets exposes them. On the Postgres Heroku side: Schemas, Primary and Unique Keys, JSONB Columns, Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
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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 Google Sheets and Postgres Heroku: Automate Google Sheets from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Google Sheets, replacing custom integration code.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Google Sheets and Postgres Heroku.
Popular · 8 of 386
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Google Sheets ⇄ Apache Cassandra -
Google Sheets ⇄ Azure Cosmos DB -
Google Sheets ⇄ Azure SQL Database -
Google Sheets ⇄ Citus -
Postgres Heroku ⇄ Braze -
Postgres Heroku ⇄ ConnectWise -
Postgres Heroku ⇄ Aviato -
Postgres Heroku ⇄ Customer.io
No integrations match .
