Two-way sync
Changes in Google Cloud Platform or Veeva CRM instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Veeva CRM 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. Accounts (HCPs and HCOs), Calls, Medical Inquiries, Sample Transactions from Veeva CRM land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Veeva CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Accounts, contacts, and activity from Veeva 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 Veeva CRM, where the people working accounts actually see them.
Join Veeva CRM'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 | Veeva CRM objects | How this pairing syncs | |
|---|---|---|---|
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Events Medical events and speaker programs managed through Veeva's events capabilities. | Spanner tables is specific to Google Cloud Platform and Events to Veeva CRM — each maps to any object or custom field on the other side. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Approved Email Activity Sent-email records from Veeva Approved Email, used in engagement reporting. | BigQuery datasets is specific to Google Cloud Platform and Approved Email Activity to Veeva CRM — each maps to any object or custom field on the other side. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Accounts (HCPs and HCOs) Healthcare professionals and organizations; the central entity most syncs key on. | BigQuery tables is specific to Google Cloud Platform and Accounts (HCPs and HCOs) to Veeva CRM — each maps to any object or custom field on the other side. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Calls Recorded visits and interactions with HCPs, including samples dropped and key messages shown. | Cloud SQL databases is specific to Google Cloud Platform and Calls to Veeva CRM — each maps to any object or custom field on the other side. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Medical Inquiries Information requests captured in the field and routed to medical affairs. | Cloud Storage objects is specific to Google Cloud Platform and Medical Inquiries to Veeva CRM — each maps to any object or custom field on the other side. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Sample Transactions Sample disbursement records tracked for regulatory compliance. | Pub/Sub topics is specific to Google Cloud Platform and Sample Transactions to Veeva CRM — each maps to any object or custom field on the other side. |
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.
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 Veeva CRM through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Veeva CRM for changes on an incremental schedule, reading only records changed since the previous pass. Polling on record modification timestamps.
DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Veeva CRM connection.
Changes in Google Cloud Platform or Veeva CRM instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Veeva CRM 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 Veeva CRM record.
Track your Google Cloud Platform ⇄ Veeva CRM sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Veeva CRM.
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 Veeva CRM 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 Veeva CRM 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 Veeva CRM: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Spanner tables and BigQuery datasets), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Veeva CRM side: Accounts (HCPs and HCOs), Calls, Medical Inquiries, Sample Transactions, plus custom fields where Veeva CRM exposes them. On the Google Cloud Platform side: Pub/Sub topics, Firestore documents, Spanner tables, BigQuery datasets. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Google Cloud Platform and Veeva CRM: CRM analytics on live data; Scores and segments back on the record; A single customer view. Accounts, contacts, and activity from Veeva CRM are queryable in Google Cloud Platform moments after they change, so dashboards stop lagging the reality they describe.
Google Cloud Platform: 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. Veeva CRM: Salesforce-platform APIs (REST, SOAP, Bulk) for classic Veeva CRM; Vault REST API for Vault CRM. Authentication: OAuth 2.0. Stacksync manages authentication, retries, and rate limits on both sides.
Veeva CRM: Classic Veeva CRM is built on the Salesforce platform, so Veeva entities are Salesforce custom objects (suffixed _vod) reachable through standard Salesforce APIs. 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 Veeva CRM without custom code.
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 538 integrations available for Google Cloud Platform and Veeva CRM.