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Storage ⇄ Data warehouse

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

Keep Egnyte and Google Cloud Platform 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 Platform

Bridge query-ready tables and stored files: Google Cloud Platform and Egnyte keep the same records in step, in real time, in both directions.

Google Cloud Platform keeps the tables and query results a business reports on; Egnyte keeps the raw files, documents, and objects that the same business produces and shares. The two overlap wherever a dataset lives as both — a file dropped in Egnyte that has to become rows in Google Cloud Platform, or a result in Google Cloud Platform that people downstream need back as a file in Egnyte. When that overlap is bridged by manual export and import or an overnight job, one side spends the day working from a stale copy.

Stacksync syncs BigQuery datasets, BigQuery tables, Cloud SQL databases, Cloud Storage objects in Google Cloud Platform with Users, Groups, Permissions, Links in Egnyte field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 Provision and deprovision Egnyte Users and Groups from an HRIS or IdP so folder access follows employee onboarding and offboarding.
  • 03 Two-way sync of Files and Folders between Egnyte and an operational database or another content store, keeping the folder hierarchy aligned.

Common sync patterns

Where Egnyte receives the raw files: land them as query-ready rows

Files and exports that arrive in Egnyte are parsed into BigQuery datasets, BigQuery tables, Cloud SQL databases, Cloud Storage objects in Google Cloud Platform as they land, so analysts query current data instead of waiting on the next scheduled load.

Where Egnyte is the shared drive: publish results back as files

Curated tables and query results from Google Cloud Platform are written to Egnyte as files the rest of the business can open, keeping the shared copy current without a hand-run export.

One dataset, kept consistent both ways

Where the same dataset lives as a file in Egnyte and a table in Google Cloud Platform, a change on either side propagates to the other, ending the drift between the file people read and the table people query.

What you can sync between Egnyte and Google Cloud Platform

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 Platform objects How this pairing syncs
Files File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. Pub/Sub topics Event streams used to move change events between systems in near real time. Files is specific to Egnyte and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.
Folders Folder hierarchy managed via the fs endpoint (create, move, rename, delete); the tree structure is mirrored during sync. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Folders is specific to Egnyte and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side.
Users Accounts managed via the Users API; provisioned, updated, and deactivated in sync with an HRIS or identity provider. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Users is specific to Egnyte and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Groups Groups and membership managed via the Groups API; kept aligned with directory or IdP groups that drive folder access. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Groups is specific to Egnyte and BigQuery datasets to Google Cloud Platform — 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. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Permissions is specific to Egnyte and BigQuery tables to Google Cloud Platform — 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. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Links is specific to Egnyte and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Egnyte and Google Cloud Platform

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 Platform 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 Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform Egnyte Sub-second propagation

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 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 Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Egnyte ⇄ Google Cloud Platform

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

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

Real-time

Two-way sync

Changes in Egnyte or Google Cloud Platform 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 Platform 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 Platform record.

Observability

Monitoring

Track your Egnyte ⇄ Google Cloud Platform 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 Platform.

How the Egnyte and Google Cloud Platform 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 Platform

Integration surface
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
Change detection
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
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

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

    Choose tables

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

Egnyte and Google Cloud Platform 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 530 integrations available for Egnyte and Google Cloud Platform.

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