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Data warehouse ⇄ CRM

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

Keep Google Cloud Platform and Nutshell 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Google Cloud Platform and Nutshell

Sync Nutshell 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, Products, Tags, Users from Nutshell land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Nutshell. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Keep People and Companies consistent between Nutshell and email marketing or outreach tools.
  • Write subscription or product data from internal systems into Nutshell so reps see account context.
  • Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Scores and segments back on the record

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

A single customer view

Join Nutshell's relationship data with billing, product, and support data in Google Cloud Platform to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

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

What you can sync between Google Cloud Platform and Nutshell

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 Cloud Platform objects Nutshell objects
Pub/Sub topics Event streams used to move change events between systems in near real time. Activities Logged calls, meetings, and emails used for engagement reporting
Firestore documents Document data read and written through the Firestore API for app-facing syncs. Tasks Rep to-dos mirrored into external work-management or reporting systems
Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Notes Free-text history attached to leads and contacts, replicated for a full timeline
BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Products Line items attached to leads, used to sync sold products into billing
BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Tags Segmentation labels mapped to lists or filters in downstream tools
Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Users Rep records used to resolve ownership when syncing assignments
What ships with Google Cloud Platform ⇄ Nutshell

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the Google Cloud Platform and Nutshell connectors work

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

Nutshell

Integration surface
JSON-RPC API over HTTPS; a newer REST API is also offered
Authentication
HTTP Basic with account email and API key
Change detection
webhook subscriptions for record events, with polling as fallback
Capabilities
read · write · webhooks
Rate limits
subject to the platform's API rate limits
How it works

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

    Choose tables

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

Google Cloud Platform and Nutshell 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 Google Cloud Platform and Nutshell.

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