No-code pipeline · Zendesk → PostgreSQL

Send data from Zendesk to PostgreSQL

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

Kondado provides a direct integration between Zendesk and PostgreSQL, offering 12 data pipelines that replicate 235 fields including Tickets, Ticket Comments, and Satisfaction Surveys on a configurable schedule ranging from every 5 minutes to daily.

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Replicate Zendesk Data to PostgreSQL Pipelines

Kondado enables businesses to replicate data from Zendesk to PostgreSQL without writing code. Our platform automates the extraction of support tickets, customer interactions, and agent metrics, loading them directly into your open-source database. You configure the update frequency once, and Kondado handles the data transfer, ensuring your PostgreSQL instance contains current information for comprehensive analysis and reporting.

Once your data arrives in PostgreSQL, you can build custom reports using SQL queries, combine support metrics with sales data from other platforms, and create automated workflows that trigger based on ticket status changes. The replication process requires no technical maintenance or API management, allowing analysts to focus on deriving actionable insights rather than troubleshooting data connections.

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Available pipelines include Ticket Metrics for tracking response times and resolution efficiency, Satisfaction Surveys for measuring customer happiness scores, and Ticket History for auditing changes across your support lifecycle. In PostgreSQL, you can correlate Zendesk Ticket Metrics with financial data to calculate the true cost of support interactions, or join Satisfaction Surveys with user demographics stored in other tables to identify which customer segments require additional attention. These pipelines enable you to build comprehensive customer service dashboards that update automatically, providing stakeholders with consistent visibility into team performance without manual report generation.

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Replicated to PostgreSQL

Zendesk data available for PostgreSQL

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

available pipelines

235

extractable fields

PostgreSQL

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 PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Zendesk Data Source

Authenticate your Zendesk account through Kondado's interface by providing your subdomain and API credentials. The platform will automatically detect available pipelines and validate access to your support data.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, port, database name, and credentials. Kondado tests the connection to ensure it can write to your specified schema and create the necessary data structures.

Select Pipelines and Schedule

Choose which of the 12 available Zendesk pipelines to replicate, such as Tickets, Ticket Metrics, or Satisfaction Surveys. Set your preferred update frequency from every 5 minutes to daily, then activate the replication to begin automated data transfers.

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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 PostgreSQL automatically

How often can I update Zendesk data in PostgreSQL? ▼

Kondado offers configurable schedules ranging from every 5 minutes to daily updates. You select the frequency during setup, and the platform automatically replicates new and modified records from your Zendesk instance to PostgreSQL according to that timeline.

What Zendesk data pipelines are available for PostgreSQL replication? ▼

The platform includes 12 pipelines covering Tickets, Users, Organizations, Ticket Comments, Ticket Metrics, Satisfaction Surveys, and more. These pipelines extract 235 distinct fields, allowing you to analyze everything from individual agent performance to overall customer satisfaction trends.

Can I combine Zendesk data with other sources in my PostgreSQL database? ▼

Yes, once Zendesk data resides in PostgreSQL, you can join it with information from additional Kondado sources such as Salesforce, HubSpot, or Shopify. This enables cross-functional analysis, such as correlating support ticket volume with sales conversions or marketing campaign timing.

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

Each pipeline creates a dedicated schema with standardized column names and appropriate data types for fields like timestamps, IDs, and text content. The structure preserves relationships between entities, such as linking Ticket Comments to their parent Tickets through foreign key references.

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

No coding is required to configure the connection. You authenticate your Zendesk account, specify your PostgreSQL connection details, and select which pipelines to enable using Kondado's visual interface, making the setup accessible to business analysts and operations teams.

Can I send Zendesk data to destinations other than PostgreSQL? ▼

Absolutely, you can replicate Zendesk data to BigQuery, Power BI, Looker Studio, or Google Sheets simultaneously. This flexibility allows different teams to access support metrics in their preferred analytics environment while maintaining a single source of truth in PostgreSQL.

What happens to deleted tickets in the PostgreSQL replication? ▼

The Closed and Deleted Tickets pipeline specifically captures removed items along with their deletion timestamps and previous status information. This ensures your historical analysis remains accurate even when records are purged from the active Zendesk system.

How do I build reports from replicated Zendesk data? ▼

You can query the replicated tables directly using SQL to create custom reports, or connect your PostgreSQL instance to visualization tools like Looker Studio or Power BI. The automated update schedule ensures your dashboards reflect the latest ticket statuses and agent activities without manual refresh.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days