Zendesk to Google BigQuery integration
Connect Zendesk to Google BigQuery and automatically sync your customer support data. Weld extracts Tickets, Users, Organizations, and Groups from Zendesk, loads them into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceZendeskConnected- ticket48 cols
- user48 cols
- organization12 cols
- group9 cols
- ticket_form15 cols
- organization_membership9 cols
- Extract
- Load
- Keep in sync
DestinationGoogle BigQueryReady- zendesk.ticketSynced
- zendesk.userSyncing
- zendesk.organizationSynced
- zendesk.groupSynced
- zendesk.ticket_formSynced
- zendesk.organization_membershipSynced
- Zendesk tables
- 43
- fields, typed
- 444
- relationships kept
- 23
- agent context included
- MCP
Trusted by data and AI teams
How to set up Zendesk to Google BigQuery in Weld.
In the app, with the API or an agent.
New connectionZendeskAuthorisedWhy sync Zendesk to Google BigQuery?
Ready for analysis.
Centralizing your Zendesk data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Zendesk data directly in Google BigQuery using SQL or your preferred BI tool.
Support metrics and SLA tracking
Monitor ticket volume, resolution times, and satisfaction scores from Zendesk in Google BigQuery. Correlate support data with product and customer data.
Centralized data warehouse
Bring Zendesk data into Google BigQuery alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Zendesk to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Zendesk table, keys intact.
Weld syncs the following data objects from Zendesk into Google BigQuery. The exact tables and fields depend on your Zendesk configuration and the permissions granted during setup.
- ticket
- user
- organization
- group
- ticket_form
- organization_membership
- group_membership
- ticket_metric
- ticket_field
- brand
- ticket_comment
- ticket_comment_attachment
- ticket_activity
- ticket_side_conversation
- macro
- sharing_agreement
- ticket_audit
- ticket_side_conversation_participant
- ticket_side_conversation_event_message_to
- brand_ticket_form
- ticket_sharing_agreement
- ticket_form_ticket_field
- ticket_side_conversation_event
- trigger
- automation
- automation_condition
- trigger_condition
- trigger_category
- automation_action
- macro_action
- and 11 more
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Zendesk context, finds the tables it needs and runs the query in Google BigQuery.
How many ticket rows do we have per brand? Use our Zendesk data in Google BigQuery.
Reading the Zendesk context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
ELT vs. reverse ETL: Zendesk and Google BigQuery
ELT (Extract, Load, Transform) moves data from Zendesk into Google BigQuery for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.
Reverse ETL works the other direction: it pushes enriched data from Google BigQuery back into Zendesk. For example, you could sync computed lead scores or customer segments from your warehouse into Zendesk to personalize outreach.
Weld supports both directions, so you can build a complete data loop between Zendesk and Google BigQuery.
Google BigQuery to Zendesk- Incremental syncing
- Weld uses incremental syncing where supported by the Zendesk API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Zendesk adds new fields, they're detected and added to the corresponding Google BigQuery tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About Zendesk to Google BigQuery.
Start syncing Zendesk to Google BigQuery.
Set up your Zendesk data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
