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Data warehouse ⇄ CRM

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

Keep Google Cloud Platform and Nimble 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Google Cloud Platform and Nimble

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

Common use cases

  • Consolidate contacts from marketing tools into Nimble while writing Nimble edits back to avoid duplicates.
  • Feed Nimble activity and task data into reporting dashboards without manual CSV exports.
  • 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 Nimble 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 Nimble, where the people working accounts actually see them.

What you can sync between Google Cloud Platform and Nimble

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 Nimble objects
BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Activities Calls, events, and interaction history used for engagement reporting outside Nimble
Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Notes Free-text records attached to contacts, replicated for a complete account timeline
Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Tags Segmentation labels that map to list membership or filters in downstream systems
Pub/Sub topics Event streams used to move change events between systems in near real time. Custom fields Account-defined contact attributes that carry enrichment or internal identifiers
Firestore documents Document data read and written through the Firestore API for app-facing syncs. Contacts Person records with multi-value fields for email, phone, and social profiles; the primary sync entity
Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Companies Stored as contact records with a company record type, so they sync through the same contacts resource
What ships with Google Cloud Platform ⇄ Nimble

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

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

Real-time

Two-way sync

Changes in Google Cloud Platform or Nimble 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 Nimble 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 Nimble record.

Observability

Monitoring

Track your Google Cloud Platform ⇄ Nimble 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 Nimble.

How the Google Cloud Platform and Nimble 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

Nimble

Integration surface
REST API (JSON)
Authentication
API key; OAuth 2.0 available for registered applications
Change detection
polling on record modification timestamps
Capabilities
read · write
Rate limits
subject to per-account API request quotas
How it works

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

    Choose tables

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

Google Cloud Platform and Nimble 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 Google Cloud Platform and Nimble.

Popular · 8 of 386
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