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Database ⇄ Business productivity

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

Keep Amazon Aurora 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

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Why teams connect Amazon Aurora and Google Sheets

Mirror Google Sheets's data into Amazon Aurora 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 Amazon Aurora.

Stacksync mirrors Sheets (tabs), Rows, Ranges, Named ranges from Google Sheets into Databases, Schemas, Tables, Views in Amazon Aurora 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

  • Publish pipeline, revenue, or inventory snapshots from a warehouse into a shared sheet for reporting.
  • Use a sheet as a lightweight intake form whose rows become records in a production database.
  • Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.

Read Google Sheets with a query

Records from Google Sheets are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.

Automate Google Sheets from your codebase

Write to the synced tables in Amazon Aurora 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 Amazon Aurora, so triggers, jobs, and services can respond in near real time.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Google Sheets objects
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Cell values Untyped by default, so syncs handle type coercion for dates and numbers.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID.
Databases Logical databases within a cluster that scope a sync connection. Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Rows Treated as records; a header row usually defines field names.
Tables Relational tables synced bi-directionally at row level. Ranges Addressed in A1 notation for batched reads and writes.
Views Read-only query-backed sources for downstream syncs. Named ranges Stable references that keep sync mappings valid when the grid moves.
What ships with Amazon Aurora ⇄ Google Sheets

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Google Sheets record.

Observability

Monitoring

Track your Amazon Aurora ⇄ 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 Amazon Aurora and Google Sheets.

How the Amazon Aurora and Google Sheets connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    Google Sheets connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora ⇄ 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
    Amazon Aurora Google Sheets
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Google Sheets integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Aurora and Google Sheets.

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