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Database ⇄ Security and identity

Google Cloud SQL to Onelogin integration — real-time, two-way sync

Keep Google Cloud SQL and Onelogin in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Google Cloud SQL and Onelogin

Close the gap between your application data and your directory: Google Cloud SQL and Onelogin share users, groups, and access in real time, in both directions.

Onelogin is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. Google Cloud SQL holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.

Stacksync syncs Schemas, Tables, Rows, Views in Google Cloud SQL with Events, Authentication factors (MFA), Custom user fields, Users in Onelogin field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.

Common use cases

  • 01 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 02 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 03 Keep Role membership aligned with application or database entitlement tables so each role's assigned users match who should hold that access.
  • 04 Read Users, Apps, and Groups into a database for identity, license, and app-assignment inventory across the OneLogin account.

Common sync patterns

Read users and groups as ordinary tables

Users, groups, and their memberships from Onelogin land in Google Cloud SQL as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.

Keep group and role membership aligned

A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.

One profile, kept current

A name, department, email, or manager corrected in either system updates the other, so the profile the directory shows and the data the application reads stop drifting apart.

What you can sync between Google Cloud SQL and Onelogin

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 Onelogin objects How this pairing syncs
Tables Mapped directly to sync targets; schema changes can be propagated. Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. Tables is specific to Google Cloud SQL and Events to Onelogin — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. Rows is specific to Google Cloud SQL and Authentication factors (MFA) to Onelogin — each maps to any object or custom field on the other side.
Views Read-only sources for shaping data before syncing it out. Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. Views is specific to Google Cloud SQL and Custom user fields to Onelogin — each maps to any object or custom field on the other side.
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Users User accounts (email, username, custom attributes, status, roles); full CRUD via the v2 Users API - create, update, delete, set password, lock/unlock, and add or remove role assignments. Transaction logs is specific to Google Cloud SQL and Users to Onelogin — each maps to any object or custom field on the other side.
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. Instances is specific to Google Cloud SQL and Roles to Onelogin — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Apps (app instances) Connected SAML/OIDC application configs on the account; create, update, delete, and assign to users and roles - the writable app catalog. Databases is specific to Google Cloud SQL and Apps (app instances) to Onelogin — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and Onelogin

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.

Google Cloud SQL Onelogin Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

DeliveryEach detected change is written to Onelogin through its API, with automatic retries and rate-limit backoff.

Onelogin Google Cloud SQL Sub-second propagation

DetectionOnelogin notifies Stacksync of record changes through webhook events. Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time.

DeliveryEach detected change is applied to Google Cloud SQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • Onelogin: Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
What ships with Google Cloud SQL ⇄ Onelogin

Connect Google Cloud SQL and Onelogin for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Onelogin connection.

Real-time

Two-way sync

Changes in Google Cloud SQL or Onelogin instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud SQL or Onelogin data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Google Cloud SQL or Onelogin record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Onelogin sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Onelogin.

How the Google Cloud SQL and Onelogin connectors work

Google Cloud SQL

Integration surface
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
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

Onelogin

Integration surface
OneLogin API (REST, v1 and v2 resource endpoints on <subdomain>.onelogin.com) plus the Event Webhook (Event Broadcaster) for event delivery
Authentication
OAuth 2.0 client credentials - an admin generates an API credential pair (client_id + client_secret) in the OneLogin portal and exchanges it at POST /auth/oauth2/v2/token for a bearer access token sent on every call; each credential carries a scope (Manage all, Manage users, Read users, etc.) that governs read vs write.
Change detection
Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time; the Events API also supports polling with since/until time filters and pagination for historical backfill.
Capabilities
read · write · webhooks
Rate limits
Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
How it works

How to connect Google Cloud SQL to Onelogin — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Google Cloud SQL and Onelogin with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Cloud SQL connected
    Onelogin connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL and Onelogin 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Cloud SQL ⇄ Onelogin
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Google Cloud SQL Onelogin
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL and Onelogin integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 433 integrations available for Google Cloud SQL and Onelogin.

Popular · 8 of 433
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