Two-way sync
Changes in Google Cloud SQL or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud SQL 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.
Engineers integrate with tools like ServiceNow through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Google Cloud SQL.
Stacksync mirrors Incidents, Change Requests, Problems, Service Catalog Requests from ServiceNow into Instances, Databases, Schemas, Tables in Google Cloud SQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into ServiceNow, so the tool and the database never disagree.
Write to the synced tables in Google Cloud SQL and Stacksync propagates the change into ServiceNow, replacing custom integration code.
Updates in ServiceNow arrive as row changes in Google Cloud SQL, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 SQL objects | ServiceNow objects | |
|---|---|---|
| Tables Mapped directly to sync targets; schema changes can be propagated. | Tasks The base task table that incidents, changes, and requests extend. | |
| Rows Read and written by primary key during each sync cycle. | Knowledge Articles Support content that can be mirrored to help centers or search indexes. | |
| Views Read-only sources for shaping data before syncing it out. | Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones. | |
| Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | Incidents The core ITSM ticket; commonly synced with engineering trackers and CRMs. | |
| Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | Change Requests Track planned changes; synced to deployment and release tooling. | |
| Databases Scope the tables included in a sync configuration. | Problems Root-cause records linked to incidents, useful in cross-system reporting. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–ServiceNow connection.
Changes in Google Cloud SQL or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud SQL 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 SQL or ServiceNow record.
Track your Google Cloud SQL ⇄ ServiceNow sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud SQL 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 SQL 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 SQL 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 SQL and ServiceNow: authenticate both systems, choose the objects to sync (such as Google Cloud SQL's Tables and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the ServiceNow side: Incidents, Change Requests, Problems, Service Catalog Requests, plus custom fields where ServiceNow exposes them. On the Google Cloud SQL side: Instances, Databases, Schemas, Tables. 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 SQL and ServiceNow: Automate ServiceNow from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Google Cloud SQL and Stacksync propagates the change into ServiceNow, replacing custom integration code.
Google Cloud SQL: Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management. Authentication: Database credentials; IAM database authentication is available for MySQL and PostgreSQL. ServiceNow: REST API (Table, Import Set, and Aggregate APIs); SOAP remains for legacy integrations. Authentication: OAuth 2.0 or basic authentication against the instance. Stacksync manages authentication, retries, and rate limits on both sides.
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 SQL: Change capture is engine-specific: binlog replication on MySQL, logical replication slots on PostgreSQL, and change tracking or CDC features on SQL Server. Stacksync's field mapping accounts for these differences between Google Cloud SQL and ServiceNow 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 386 integrations available for Google Cloud SQL and ServiceNow.