No-code pipeline · Zendesk → BigQuery

Send data from Zendesk to BigQuery

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From Zendesk to BigQuery: managed, scheduled, no code.

Creating a pipeline that sends data from Zendesk to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from Zendesk to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from Zendesk data and combining it with other data in your BigQuery data warehouse

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Send Zendesk Data to BigQuery Automatically

How to send Zendesk data to BigQuery? Kondado provides a direct integration that replicates your customer service data from Zendesk to BigQuery on a configurable schedule. The platform supports 12 different pipelines including Tickets, Users, Ticket Metrics, and Satisfaction Surveys, allowing you to centralize support analytics in your data warehouse. Once connected, your data updates automatically every 5 minutes, hourly, or daily based on your business needs, ensuring your BigQuery datasets remain current without manual intervention. This automated pipeline eliminates the need for manual CSV exports or complex API scripting, letting analysts focus on insights rather than data preparation.

Kondado automatically replicates Zendesk data to BigQuery on a user-configured schedule, offering 12 pipelines with 235 fields including Tickets, Ticket Metrics, Users, and Satisfaction Surveys for comprehensive customer service analytics.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

What You Can Do With Zendesk Data in BigQuery

With the Ticket Metrics and Satisfaction Surveys pipelines, you can build custom dashboards in BigQuery that correlate response times with customer satisfaction scores to identify service quality trends. The Ticket Comments and Ticket History pipelines enable deep text analysis and audit trails, allowing you to track conversation patterns and agent performance over time. By combining these datasets in BigQuery, you create a single source of truth for support operations that powers reports in Looker Studio, Power BI, or other business intelligence tools.

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Replicated to BigQuery

Zendesk data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipelines

235

extractable fields

BigQuery

Destination

Available integrations

Closed and Deleted Tickets

Includes deleted tickets with fields like id, actor_id, and deleted_at, allowing analysis of previous status and ticket description.

Ticket Comments

Contains comments related to tickets, with fields like ticket_id, author_id, and created_at, along with the comment body.

Ticket Metrics Events

Records SLA metric events, including id, metric, and sla_target, allowing performance monitoring of tickets.

Groups

Lists groups with fields like id, name, and updated_at, along with information about the group's status and description.

Ticket History

Records ticket audits with fields like id, ticket_id, and created_at, along with metadata about the source and channel.

Jira Links

Information about links between tickets and Jira tasks, allowing integration and tracking of related tasks.

How to send Zendesk data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Your Zendesk Account

Authenticate your Zendesk data source by providing your API credentials through Kondado's interface to establish the initial connection.

Configure BigQuery Settings

Enter your BigQuery project and dataset details to designate where your Zendesk data will be stored and organized.

Choose Pipelines and Schedule

Select which of the 12 Zendesk pipelines to replicate and configure your update frequency to automate data transfers to BigQuery.

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Send data from Zendesk to other destinations

Zendesk > Looker Studio

Zendesk > Power BI

Other visualizations

Zendesk > Amazon S3

Zendesk > BigQuery

Zendesk > Excel

Zendesk > Google Sheets

Zendesk > MySQL

Zendesk > PostgreSQL

Zendesk > Redshift

Zendesk > SQL Server

Choose a tool to visualize your Zendesk data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Zendesk > Airtable

Zendesk > Alteryx

Zendesk > Amazon Quicksight

Zendesk > BIMachine

Zendesk > Cortex

Zendesk > Data Studio

Zendesk > Geckoboard

Zendesk > Grafana

Zendesk > IBM Cognos Analytics

Zendesk > Klipfolio

Zendesk > Looker Studio

Zendesk > Looker

Zendesk > Looqbox

Zendesk > Metabase

Zendesk > Microstrategy

Zendesk > Pentaho

Zendesk > Power BI

Zendesk > Qlik Cloud Analytics

Zendesk > Qlik Sense

Zendesk > Qlik

Zendesk > QlikView

Zendesk > Redash

Zendesk > Superset

Zendesk > Tableau

Zendesk > BI TOTVS

Zendesk > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Zendesk data to BigQuery automatically

How often does Zendesk data update in BigQuery? ▼

Kondado updates your Zendesk data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This near-real-time replication ensures your BigQuery datasets reflect the latest ticket activities, agent assignments, and customer interactions without requiring manual refreshes.

What Zendesk pipelines are available for BigQuery replication? ▼

Kondado offers 12 distinct pipelines including Tickets, Users, Organizations, Ticket Metrics, Satisfaction Surveys, Ticket Comments, and Ticket History. Each pipeline contains specific fields such as ticket IDs, timestamps, agent information, and custom fields, allowing you to replicate exactly the data structures needed for your analytics.

Can I combine Zendesk data with other sources in BigQuery? ▼

Yes, once your Zendesk data resides in BigQuery, you can join it with information from your CRM, sales, or marketing platforms. This unified approach enables comprehensive customer journey analysis and cross-functional reporting that connects support interactions with revenue and retention metrics.

How is Zendesk data structured when it arrives in BigQuery? ▼

Each Zendesk pipeline becomes a separate dataset in BigQuery with normalized schemas that maintain field relationships from the original source. The data arrives ready for SQL querying, with proper timestamp formatting and foreign key relationships preserved between tickets, users, and organizations.

Do I need coding skills to set up Zendesk to BigQuery replication? ▼

No coding is required to connect Zendesk to BigQuery using Kondado's interface. The setup process involves authenticating your Zendesk account, selecting your desired pipelines, and choosing your update schedule through a visual workflow that requires no API knowledge or SQL scripting.

What happens to deleted Zendesk tickets in BigQuery? ▼

The Closed and Deleted Tickets pipeline specifically captures removed tickets along with their deletion metadata, ensuring your historical records remain complete. This allows you to maintain accurate reporting on ticket volume trends and identify patterns in deleted or merged support requests.

Can I track agent performance metrics from Zendesk in BigQuery? ▼

The Ticket Metrics and Ticket Metrics Events pipelines capture response times, resolution durations, and SLA compliance data that enable detailed agent performance analysis. By combining these metrics with the Users pipeline in BigQuery, you can create custom scorecards tracking individual and team productivity over time.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days