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Database ⇄ Business productivity

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

Keep Citus 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 Citus and Google Sheets

Mirror Google Sheets's data into Citus 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 Citus.

Stacksync mirrors Spreadsheets, Sheets (tabs), Rows, Ranges from Google Sheets into Distributed tables, Reference tables, Local tables, Schemas in Citus 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

  • Give ops and finance teams an editable spreadsheet view of CRM or database records, with edits written back to the source.
  • Publish pipeline, revenue, or inventory snapshots from a warehouse into a shared sheet for reporting.
  • Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.
  • Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.

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.

Read Google Sheets with a query

Records from Google Sheets are ordinary rows in Citus; 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 Citus and Stacksync propagates the change into Google Sheets, replacing custom integration code.

What you can sync between Citus 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.

Citus objects Google Sheets objects
Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID.
Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table.
Schemas Standard Postgres namespaces used to scope what a sync user can read and write. Rows Treated as records; a header row usually defines field names.
Views Curated projections over distributed data, often used as read-only sync sources. Ranges Addressed in A1 notation for batched reads and writes.
Sequences Key generators that matter when external writes must not collide with application inserts. Named ranges Stable references that keep sync mappings valid when the grid moves.
Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. Cell values Untyped by default, so syncs handle type coercion for dates and numbers.
What ships with Citus ⇄ Google Sheets

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Citus 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 Citus or Google Sheets record.

Observability

Monitoring

Track your Citus ⇄ 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 Citus and Google Sheets.

How the Citus and Google Sheets connectors work

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
Capabilities
read · write · CDC

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

    Choose tables

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

Citus 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 Citus and Google Sheets.

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