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Data warehouse ⇄ Business productivity

Azure Synapse Analytics to Google Sheets integration — real-time, two-way sync

Keep Azure Synapse Analytics 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 Azure Synapse Analytics and Google Sheets

Get the data locked inside Google Sheets into Azure Synapse Analytics as live tables, and send results back where Google Sheets can use them, without writing a pipeline.

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 Named ranges, Cell values, Spreadsheets, Sheets (tabs) from Google Sheets into tables in Azure Synapse Analytics continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Azure Synapse Analytics can also be written back into fields in Google Sheets where the tool can use them.

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.
  • Publish warehouse aggregates (account health scores, LTV) from Synapse back into operational tools like a CRM.
  • Sync curated Synapse views into an operational Postgres or Azure SQL database that applications can query cheaply.

Cross-tool reporting

Combine Google Sheets's data with data from every other synced system to answer questions no single tool can.

Where Google Sheets accepts updates: operational write-back

Segments, scores, or reference values computed in Azure Synapse Analytics sync back onto records in Google Sheets, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Azure Synapse Analytics preserves a queryable record even as data ages out of Google Sheets or gets changed inside it.

What you can sync between Azure Synapse Analytics 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.

Azure Synapse Analytics objects Google Sheets objects
Materialized views Precomputed aggregates that speed reads of frequently synced result sets. Cell values Untyped by default, so syncs handle type coercion for dates and numbers.
SQL pools Dedicated or serverless compute contexts that determine how and where queries run. Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID.
Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table.
External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. Rows Treated as records; a header row usually defines field names.
Views Curated projections used when downstream tools should not read base tables directly. Ranges Addressed in A1 notation for batched reads and writes.
Schemas Namespaces that separate staging, integration, and presentation layers. Named ranges Stable references that keep sync mappings valid when the grid moves.
What ships with Azure Synapse Analytics ⇄ Google Sheets

Connect Azure Synapse Analytics and Google Sheets for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Synapse Analytics 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 Azure Synapse Analytics or Google Sheets record.

Observability

Monitoring

Track your Azure Synapse Analytics ⇄ 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 Azure Synapse Analytics and Google Sheets.

How the Azure Synapse Analytics and Google Sheets connectors work

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write

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 Azure Synapse Analytics 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 Azure Synapse Analytics 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
    Azure Synapse Analytics connected
    Google Sheets connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Azure Synapse Analytics 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.

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 Azure Synapse Analytics and Google Sheets.

Popular · 8 of 386
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