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Data warehouse ⇄ Business productivity

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

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

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Why teams connect BigQuery and Zendesk

Get the data locked inside Zendesk into BigQuery as live tables, and send results back where Zendesk can use them, without writing a pipeline.

Support teams sync Zendesk into BigQuery to analyze ticket volume, resolution, and customer health at warehouse scale. Tickets, Tickets Comments, and Organizations land in BigQuery Datasets where they join product and revenue data.

Stacksync syncs Attachments, Ticket Forms, Tickets, Tickets Comments from Zendesk into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Zendesk where the tool can use them.

Common use cases

  • 01 Report support load per Organization alongside revenue data in BigQuery.
  • 02 Analyze Tickets Comments at scale for response-time and quality metrics.
  • 03 Retain full Ticket and Attachment history in the warehouse for long-term analysis.
  • 04 Write CRM account tier, owner, and renewal data onto Zendesk organizations and ticket fields so agents see context in the ticket.

Common sync patterns

Support analytics warehouse

Zendesk Tickets and Tickets Comments replicate into BigQuery Partitioned tables for volume and resolution-time analysis.

Customer health joins

Zendesk Users and Organizations sync to BigQuery Tables so support activity joins account data in the warehouse.

Form-level reporting

Ticket Forms sync into BigQuery Datasets to segment analysis by intake channel and request type.

What you can sync between BigQuery and Zendesk

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 Zendesk objects How this pairing syncs
Projects Connection scope: the service account grants access per project. Tickets The central work object; synced to databases for SLA and volume reporting or mirrored into engineering tools. Projects is specific to BigQuery and Tickets to Zendesk — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Tickets Comments Synced with incremental and full sync per the Stacksync docs. Tables is specific to BigQuery and Tickets Comments to Zendesk — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Users End users and agents; matched to CRM contacts to keep requester data consistent. Partitioned tables is specific to BigQuery and Users to Zendesk — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Organizations Company groupings for users; typically kept aligned with CRM accounts. Clustered tables is specific to BigQuery and Organizations to Zendesk — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Attachments Synced with incremental and full sync per the Stacksync docs. Datasets is specific to BigQuery and Attachments to Zendesk — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Zendesk

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 Zendesk 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 Zendesk through its API, with automatic retries and rate-limit backoff.

Zendesk BigQuery Sub-second propagation

DetectionZendesk notifies Stacksync of record changes through webhook events. Incremental export endpoints with cursor-based pagination, plus webhooks fired by triggers.

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.
  • Zendesk: Request limits vary by plan; incremental export endpoints have their own allowances.
What ships with BigQuery ⇄ Zendesk

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Zendesk 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 Zendesk record.

Observability

Monitoring

Track your BigQuery ⇄ Zendesk 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 Zendesk.

How the BigQuery and Zendesk 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

Zendesk

Integration surface
REST API
Authentication
OAuth app authorization: enter your Zendesk subdomain (from {sub_domain_name}.zendesk.com) in Stacksync Connections and click "Authorize App"
Change detection
Incremental export endpoints with cursor-based pagination, plus webhooks fired by triggers
Capabilities
read · write · webhooks
Rate limits
Request limits vary by plan; incremental export endpoints have their own allowances.
Zendesk setup guide
How it works

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

    Choose tables

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

BigQuery and Zendesk 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
CSA STAR
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 543 integrations available for BigQuery and Zendesk.

Popular · 8 of 543
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