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Data warehouse ⇄ Storage

BigQuery to Egnyte integration — real-time, two-way sync

Keep BigQuery and Egnyte 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 BigQuery and Egnyte

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

BigQuery 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 BigQuery, or a result in BigQuery 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 Partitioned tables, Clustered tables, Datasets, Projects in BigQuery with Permissions, Links, Metadata, Events and Audit reports 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 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • 02 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 03 Two-way sync of Files and Folders between Egnyte and an operational database or another content store, keeping the folder hierarchy aligned.
  • 04 Write custom Metadata such as classification tags and project fields onto Files and Folders from a governance or DMS system, and read it back for reporting.

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 Partitioned tables, Clustered tables, Datasets, Projects in BigQuery 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 BigQuery 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 BigQuery, 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 BigQuery and Egnyte

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.

BigQuery objects Egnyte objects How this pairing syncs
Tables The syncable unit: only tables can be synced per the Stacksync docs. Links Shared file and folder links created, listed, and revoked via the Links API; useful for governing and auditing external sharing. Tables is specific to BigQuery and Links to Egnyte — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Metadata Custom metadata keys and project fields on files/folders via the Metadata API; written for classification and read back for reporting. Partitioned tables is specific to BigQuery and Metadata to Egnyte — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Events and Audit reports File, login, permission, and sharing activity read via the Events API and Audit Reporting API; consumed read-only for compliance. Clustered tables is specific to BigQuery and Events and Audit reports to Egnyte — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Files File content managed via the fs-content endpoint (upload/download, chunked for large files); synced two-way with other stores. Datasets is specific to BigQuery and Files to Egnyte — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Folders Folder hierarchy managed via the fs endpoint (create, move, rename, delete); the tree structure is mirrored during sync. Projects is specific to BigQuery and Folders to Egnyte — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Egnyte

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.

BigQuery Egnyte Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

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

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

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • 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.
What ships with BigQuery ⇄ Egnyte

Connect BigQuery and Egnyte for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Egnyte 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 BigQuery or Egnyte record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Egnyte.

How the BigQuery and Egnyte connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

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
How it works

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

    Choose tables

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

BigQuery and Egnyte 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
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ISO 27001
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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 533 integrations available for BigQuery and Egnyte.

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