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CRM ⇄ Data warehouse

Freshsales to Google Cloud Platform integration — real-time, two-way sync

Keep Freshsales and Google Cloud Platform 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 Freshsales and Google Cloud Platform

Sync Freshsales into Google Cloud Platform continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Notes, Sales activities, Products, Contacts from Freshsales land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Freshsales. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Two-way sync of contacts and accounts between Freshsales and a Postgres database so product and data teams query CRM data with SQL.
  • Sync deals into a data warehouse for pipeline reporting alongside product usage data.
  • Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Cleanup that sticks

Deduplication and normalization done in Google Cloud Platform can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from Freshsales are queryable in Google Cloud Platform moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Google Cloud Platform appear as fields in Freshsales, where the people working accounts actually see them.

What you can sync between Freshsales and Google Cloud Platform

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.

Freshsales objects Google Cloud Platform objects
Tasks Rep to-dos created from external triggers or synced for productivity reporting. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases.
Appointments Scheduled meetings readable for activity analytics. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services.
Notes Free-text records attached to contacts, accounts, and deals. Pub/Sub topics Event streams used to move change events between systems in near real time.
Sales activities Configurable activity types logged against records, useful for engagement scoring. Firestore documents Document data read and written through the Firestore API for app-facing syncs.
Products Catalog items attached to deals for line-level revenue data. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads.
Contacts Person records carrying lifecycle stages; the main entity for two-way CRM syncs. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset.
What ships with Freshsales ⇄ Google Cloud Platform

Connect Freshsales and Google Cloud Platform for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Freshsales–Google Cloud Platform connection.

Real-time

Two-way sync

Changes in Freshsales or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshsales or Google Cloud Platform 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 Freshsales or Google Cloud Platform record.

Observability

Monitoring

Track your Freshsales ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Freshsales and Google Cloud Platform.

How the Freshsales and Google Cloud Platform connectors work

Freshsales

Integration surface
REST API
Authentication
API key sent as a Token authorization header
Change detection
Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that vary by Freshworks plan

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

How to connect Freshsales to Google Cloud Platform — 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 Freshsales and Google Cloud Platform 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
    Freshsales connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Freshsales and Google Cloud Platform 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 · Freshsales ⇄ Google Cloud Platform
    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
    Freshsales Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Freshsales and Google Cloud Platform 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 Freshsales and Google Cloud Platform.

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