No-code pipeline · Zendesk → SQL Server

Send data from Zendesk to SQL Server

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From Zendesk to SQL Server: managed, scheduled, no code.

Creating a pipeline that sends data from Zendesk to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Zendesk to SQL Server 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 SQL Server database

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Zendesk to SQL Server Data Replication

Kondado provides a direct connection between Zendesk and SQL Server, allowing you to replicate support data automatically without writing code. Simply connect your Zendesk account as a data source, configure SQL Server as your destination, and select which pipelines you want to replicate. The platform handles the data transfer on your chosen schedule, ensuring your database always contains current ticket information, user details, and customer service metrics for comprehensive analysis and strategic decision-making.

Once configured, Kondado maintains your SQL Server environment with fresh Zendesk data, enabling you to build custom reports and combine customer service metrics with other business data. This automated approach eliminates manual exports and CSV uploads while keeping your analytics current for stakeholders across your organization.

Kondado replicates Zendesk data to SQL Server through 12 available pipelines covering 235 fields, including Tickets, Users, Ticket Comments, and Satisfaction Surveys, with automated updates running on a configurable schedule from every 5 minutes to daily.

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With the Tickets and Ticket Comments pipelines, you can analyze support volume trends and agent response quality directly in SQL Server, joining this data with sales or product information already in your database. The Satisfaction Surveys pipeline brings customer feedback scores into your tables, enabling correlation between ticket resolution times and customer happiness metrics for deeper insights. Additionally, Ticket Metrics Events allows you to monitor SLA compliance and identify bottlenecks in your support workflow, creating a comprehensive view of your customer service operations that feeds directly into Power BI or Looker Studio reports.

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Replicated to SQL Server

Zendesk data available for SQL Server

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

available pipelines

235

extractable fields

SQL Server

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 SQL Server

Sync data automatically — no code, no manual exports.

Connect Zendesk Data Source

Authenticate your Zendesk account in Kondado by providing your API credentials, allowing the platform to access your support data including tickets, users, and satisfaction scores.

Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and credentials to establish the target location where your Zendesk pipelines will replicate.

Select Pipelines and Schedule

Choose from the 12 available Zendesk pipelines such as Tickets and Ticket Comments, then set your preferred update frequency from every 5 minutes to daily for automated replication.

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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 SQL Server automatically

How does Kondado replicate Zendesk data to SQL Server? ▼

Kondado uses a direct connection to extract data from your Zendesk account and load it into SQL Server automatically. You select which of the 12 available pipelines you want to replicate, and the platform handles the data transfer on your configured schedule without requiring manual intervention or maintenance.

What Zendesk data can I replicate to SQL Server? ▼

You can replicate 12 different pipelines including Tickets, Users, Organizations, Ticket Comments, and Satisfaction Surveys, covering 235 total fields. This includes historical data through the Ticket History pipeline and deleted records via the Closed and Deleted Tickets pipeline for complete audit trails.

How often does Zendesk data update in SQL Server? ▼

Kondado updates your SQL Server database on a configurable schedule that you set during setup, with options ranging from every 5 minutes to daily intervals. This near-real-time replication ensures your support analytics reflect current ticket statuses and agent activities without overwhelming your database with constant syncs.

What format does Zendesk data take in SQL Server? ▼

Each Zendesk pipeline becomes a separate table in SQL Server with normalized column names matching the original field structure, including proper timestamp and ID fields for relationships. The data arrives ready for querying with standard SQL, allowing immediate joins between Tickets, Users, and Comments datasets for comprehensive reporting.

Can I combine Zendesk data with other sources in SQL Server? ▼

Yes, once your Zendesk data resides in SQL Server, you can join it with information from other Kondado sources like Salesforce, HubSpot, or Google Analytics data already in your database. This unified approach enables cross-functional analysis, such as correlating support ticket volume with marketing campaigns or sales performance stored in the same SQL Server environment.

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

No coding is required to connect Zendesk to SQL Server, as Kondado provides a no-code interface for selecting pipelines and configuring your destination. The platform manages API connections, data type mapping, and schema creation automatically, making it accessible for analysts and business users without technical backgrounds.

Which Zendesk pipelines help track customer satisfaction metrics? ▼

The Satisfaction Surveys pipeline captures CSAT scores and feedback directly, while Ticket Metrics provides response and resolution times essential for service level analysis. Combining these in SQL Server allows you to calculate net satisfaction trends and identify which ticket types or agents drive the highest customer happiness ratings.

Can I replicate Zendesk data to SQL Server and other databases at the same time? ▼

Yes, Kondado supports configuring multiple destinations for your Zendesk data source, allowing you to replicate to SQL Server while simultaneously sending data to BigQuery, PostgreSQL, or MySQL. This multi-destination approach ensures consistent customer service data across your entire data ecosystem without additional extraction load on your Zendesk API.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days