Two-way sync
Changes in Google Cloud Platform or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and ServiceNow in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever ServiceNow is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Incidents, Change Requests, Problems, Service Catalog Requests from ServiceNow into tables in Google Cloud Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Google Cloud Platform can also be written back into fields in ServiceNow where the tool can use them.
Segments, scores, or reference values computed in Google Cloud Platform sync back onto records in ServiceNow, putting analysis where the work happens.
A continuously synced copy in Google Cloud Platform preserves a queryable record even as data ages out of ServiceNow or gets changed inside it.
Records and events from ServiceNow land in Google Cloud Platform as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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 | ServiceNow objects | |
|---|---|---|
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Service Catalog Requests Requested items and approvals that often trigger provisioning in other systems. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Configuration Items (CMDB) Asset and infrastructure records synced with discovery tools and asset databases. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Users and Groups Sys_user and group tables synced with HR systems and identity providers. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Tasks The base task table that incidents, changes, and requests extend. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Knowledge Articles Support content that can be mirrored to help centers or search indexes. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–ServiceNow connection.
Changes in Google Cloud Platform or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or ServiceNow 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 ServiceNow record.
Track your Google Cloud Platform ⇄ ServiceNow sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and ServiceNow.
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 ServiceNow 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 ServiceNow 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 ServiceNow: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery tables and Cloud SQL databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
ServiceNow: Every record is a row in a table identified by a sys_id GUID, and the Table API addresses standard and custom tables uniformly. Google Cloud Platform: Cloud SQL Postgres and MySQL expose log-based CDC (logical replication and binlog), which Datastream and external sync tools consume for real-time replication. Stacksync's field mapping accounts for these differences between Google Cloud Platform and ServiceNow 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 ServiceNow 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 ServiceNow connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–ServiceNow integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and ServiceNow. 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 ServiceNow: Polling on sys_updated_on timestamps; instance admins can configure outbound push through business rules or Flow Designer. 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 ServiceNow.