Two-way sync
Changes in Copper CRM or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Copper CRM 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.
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. Projects, Pipelines, Custom Field Definitions, People from Copper CRM land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Copper CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Deduplication and normalization done in Google Cloud Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Copper CRM are queryable in Google Cloud Platform moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Google Cloud Platform appear as fields in Copper CRM, where the people working accounts actually see them.
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.
| Copper CRM objects | Google Cloud Platform objects | |
|---|---|---|
| Custom Field Definitions Org-defined fields whose definitions are fetched to build dynamic field mappings. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | |
| People Individual contact records, often created from Gmail interactions, and the main target of contact syncs. | Pub/Sub topics Event streams used to move change events between systems in near real time. | |
| Companies Organization records linked to people and opportunities. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. | |
| Leads Unqualified prospects kept separate from People until converted. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | |
| Opportunities Deals tracked through pipelines and stages; synced for revenue reporting. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | |
| Activities Logged emails, calls, meetings, and notes attached to records. | BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Copper CRM–Google Cloud Platform connection.
Changes in Copper CRM or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Copper CRM or Google Cloud Platform data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Copper CRM or Google Cloud Platform record.
Track your Copper CRM ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Copper CRM and Google Cloud Platform.
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.
Authenticate Copper CRM 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.
Pick the Copper CRM 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Copper CRM and Google Cloud Platform: authenticate both systems, choose the objects to sync (such as Copper CRM's Custom Field Definitions and People), map fields visually, and changes propagate both ways in milliseconds — no code required.
Copper CRM: Webhook subscriptions can be registered through the API to receive notifications for new, updated, and deleted records. Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. Stacksync's field mapping accounts for these differences between Copper CRM and Google Cloud Platform without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Copper CRM and Google Cloud Platform records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Copper CRM and Google Cloud Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Copper CRM–Google Cloud Platform integration in-house.
Yes — Stacksync ships production-grade connectors for both Copper CRM and Google Cloud Platform. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Copper CRM: Webhook subscriptions for record create/update/delete events; polling as fallback. On Google Cloud Platform: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Copper CRM and Google Cloud Platform.