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CRM ⇄ Data warehouse

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

Keep Clari 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 Clari and Google Cloud Platform

Sync Clari 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. Forecast, Quota, Opportunities, Activity (Capture) from Clari land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Clari. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Pull Activity (Capture) meetings and emails, mapped to their accounts and opportunities, into a database for coverage and engagement analysis.
  • 02 Write warehouse-computed health scores and usage metrics onto Clari Opportunity records as field extensions via the ingest API so deal reviews show product signals.
  • 03 Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Common sync patterns

Scores and segments back on the record

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

A single customer view

Join Clari'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 Clari 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.

Clari objects Google Cloud Platform objects How this pairing syncs
Activity (Capture) Meetings, emails, and attachments captured by Clari and mapped to accounts and opportunities; exported read-only via async activity jobs. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Activity (Capture) is specific to Clari and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side.
Account field extensions External data points written onto Account records through the ingest API in initial or incremental mode; requires an apikey plus a partnerkey. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Account field extensions is specific to Clari and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Opportunity field extensions Warehouse-computed fields pushed onto Opportunity records via the ingest API; up to 100 records per request or 10MB bulk files. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Opportunity field extensions is specific to Clari and BigQuery datasets to Google Cloud Platform — each maps to any object or custom field on the other side.
Audit Events User edits and system events exported with filtering by actor, session, and date range; read-only feed for change tracking and compliance. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Audit Events is specific to Clari and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Forecast Exported per forecast tab and fiscal period via async jobs; includes submitted forecast calls, updates, manager adjustments, and CRM totals. Read-only. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Forecast is specific to Clari and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side.
Quota Quota and quota-history values exported alongside forecast data, scoped by fiscal quarter; read-only, useful for warehouse attainment reporting. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Quota is specific to Clari and Cloud Storage objects to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Clari and Google Cloud Platform

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Clari Google Cloud Platform Interval-based propagation

DetectionStacksync polls Clari for changes on an incremental schedule, reading only records changed since the previous pass. Polling — reads run as asynchronous export jobs (submit export, poll job status, download results).

DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform Clari Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

DeliveryEach detected change is written to Clari through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Clari: Max 3 concurrent exports and roughly 1000 exports per rolling 30-day org window; ingestion capped at 100 requests/sec per API token.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Clari ⇄ Google Cloud Platform

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

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

Real-time

Two-way sync

Changes in Clari 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 Clari 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 Clari or Google Cloud Platform record.

Observability

Monitoring

Track your Clari ⇄ 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 Clari and Google Cloud Platform.

How the Clari and Google Cloud Platform connectors work

Clari

Integration surface
REST APIs on api.clari.com - Export API (v4, asynchronous bulk jobs for forecast, quota, activity, and audit) and Ingest API (v2, field extensions); Opportunity reads are synchronous via GET /opportunity
Authentication
API token in the apikey header, generated per user in Settings; ingest/partner endpoints also require a partnerkey header, and Copilot endpoints require X-Api-Key and X-Api-Password
Change detection
Polling — reads run as asynchronous export jobs (submit export, poll job status, download results); the ingest API supports an incremental mode for regular field updates. No webhooks.
Capabilities
read · write
Rate limits
Max 3 concurrent exports and roughly 1000 exports per rolling 30-day org window; ingestion capped at 100 requests/sec per API token.

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 Clari 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 Clari 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
    Clari connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Clari and Google Cloud Platform integration FAQ

SECURITY

Security teams trust 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 455 integrations available for Clari and Google Cloud Platform.

Popular · 5 of 455
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