Two-way sync
Changes in Google Cloud Platform or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Salesforce 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. Contacts, Leads, Opportunities, Cases from Salesforce land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Salesforce. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Accounts, contacts, and activity from Salesforce 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 Salesforce, where the people working accounts actually see them.
Join Salesforce's relationship data with billing, product, and support data in Google Cloud Platform to build the customer picture the CRM alone cannot hold.
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 | Salesforce objects | |
|---|---|---|
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Salesforce connection.
Changes in Google Cloud Platform or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Salesforce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or Salesforce record.
Track your Google Cloud Platform ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Salesforce.
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 Google Cloud Platform and Salesforce 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 Google Cloud Platform and Salesforce 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 Google Cloud Platform and Salesforce: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Firestore documents and Spanner tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Salesforce: Records are queried with SOQL, and every standard and custom object carries a SystemModstamp field that sync engines use to order incremental changes. 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 Google Cloud Platform and Salesforce 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 Google Cloud Platform and Salesforce records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–Salesforce integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and Salesforce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). 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 Google Cloud Platform and Salesforce.