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Storage ⇄ Database

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

Keep Egnyte and Google Cloud SQL 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 Egnyte and Google Cloud SQL

Keep Google Cloud SQL and Egnyte in step: a row in Google Cloud SQL for every file in Egnyte, with names, paths, metadata, and status staying consistent in real time, in both directions.

A database holds structured records; a storage system holds the files those records depend on, such as contracts, images, exports, uploads, and documents. The two describe the same things from opposite sides: a row in Google Cloud SQL says a file exists and carries its name, location, and status, while Egnyte holds the bytes. Linked only by a hand-kept path or a one-off script, the two drift the moment a file is renamed, moved, or deleted and the record still points at where it used to be.

Stacksync syncs Instances, Databases, Schemas, Tables in Google Cloud SQL with Events and Audit reports, Files, Folders, Users in Egnyte bi-directionally and in real time. File attributes, including name, path or object key, size, type, modified time, owner, and tags or custom properties, map field by field to columns on the matching row, and a change on either side shows up on the other within seconds. New files appear as rows, metadata edits travel in the direction you choose, and deletes stay consistent, with conflict rules you set in place of nightly reconciliation scripts.

Common use cases

  • 01 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 02 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 03 Stream Egnyte audit Events (file, login, permission, and Link changes) into a warehouse or SIEM for compliance and governance reporting.
  • 04 Provision and deprovision Egnyte Users and Groups from an HRIS or IdP so folder access follows employee onboarding and offboarding.

Common sync patterns

Continuous archival to file storage

Rows from Google Cloud SQL are written out to Egnyte as files on a schedule or as they change, giving a durable, low-cost copy for backup, compliance, or a data lake, without a custom export job to maintain.

A queryable index of the file store

Every file or object in Egnyte shows up as a row in Google Cloud SQL, with its name, folder or key, size, type, and modified date as columns, so the contents of the store can be listed, filtered, and joined like any other table.

File metadata kept in step

Tags, custom properties, owner, or status columns edited on a row in Google Cloud SQL write back to the matching file's metadata in Egnyte, and metadata changed in Egnyte updates the row, so the two never disagree about a file.

What you can sync between Egnyte and Google Cloud SQL

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.

Egnyte objects Google Cloud SQL objects How this pairing syncs
Groups Groups and membership managed via the Groups API; kept aligned with directory or IdP groups that drive folder access. Tables Mapped directly to sync targets; schema changes can be propagated. Groups is specific to Egnyte and Tables to Google Cloud SQL — each maps to any object or custom field on the other side.
Permissions Folder permissions listed, set, and removed via the Permissions API; effective permission for a user/folder is computable. Rows Read and written by primary key during each sync cycle. Permissions is specific to Egnyte and Rows to Google Cloud SQL — each maps to any object or custom field on the other side.
Links Shared file and folder links created, listed, and revoked via the Links API; useful for governing and auditing external sharing. Views Read-only sources for shaping data before syncing it out. Links is specific to Egnyte and Views to Google Cloud SQL — each maps to any object or custom field on the other side.
Metadata Custom metadata keys and project fields on files/folders via the Metadata API; written for classification and read back for reporting. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Metadata is specific to Egnyte and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side.
Events and Audit reports File, login, permission, and sharing activity read via the Events API and Audit Reporting API; consumed read-only for compliance. Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Events and Audit reports is specific to Egnyte and Instances to Google Cloud SQL — each maps to any object or custom field on the other side.
Files File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. Databases Scope the tables included in a sync configuration. Files is specific to Egnyte and Databases to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between Egnyte and Google Cloud SQL

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.

Egnyte Google Cloud SQL Sub-second propagation

DetectionEgnyte notifies Stacksync of record changes through webhook events. Events API polled with an incremental cursor (Egnyte recommends an interval of 5 minutes or more), or Webhooks push notifications for fs, metadata,.

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

Google Cloud SQL Egnyte 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 Egnyte through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Egnyte: Auto-generated keys default to 2 requests/second and 1,000 requests/day, enforced per access token; monitor X-Accesstoken-Qps-Current/Allotted and X-Accesstoken-Quota-Current headers; higher limits on request.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with Egnyte ⇄ Google Cloud SQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Egnyte or Google Cloud SQL 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 Egnyte or Google Cloud SQL record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Egnyte and Google Cloud SQL connectors work

Egnyte

Integration surface
REST Public API (pubapi/v1) with File System, Users, Groups, Permissions, Links, Metadata, Events, and Webhooks endpoints
Authentication
OAuth 2.0 scoped access tokens (Authorization Code or Implicit for partner apps, Resource Owner Password for internal apps, Refresh Token flow); token sent in the Authorization header
Change detection
Events API polled with an incremental cursor (Egnyte recommends an interval of 5 minutes or more), or Webhooks push notifications for fs, metadata, permission, and comment events
Capabilities
read · write · webhooks
Rate limits
Auto-generated keys default to 2 requests/second and 1,000 requests/day, enforced per access token; monitor X-Accesstoken-Qps-Current/Allotted and X-Accesstoken-Quota-Current headers; higher limits on request

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.
How it works

How to connect Egnyte to Google Cloud SQL — 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 Egnyte and Google Cloud SQL 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
    Egnyte connected
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Egnyte and Google Cloud SQL 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 · Egnyte ⇄ Google Cloud SQL
    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
    Egnyte Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Egnyte and Google Cloud SQL 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 426 integrations available for Egnyte and Google Cloud SQL.

Popular · 7 of 426
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