Send data from Freshdesk to PostgreSQL

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Send Freshdesk Data to PostgreSQL Automatically

To send Freshdesk data to PostgreSQL, start by connecting your support-service data source to a replication platform that automates the data flow without requiring engineering resources. Kondado enables you to replicate Freshdesk information directly into your PostgreSQL database on a configurable schedule, eliminating manual CSV exports and complex API scripting. You simply select which pipelines to activate, authenticate your Freshdesk credentials, and configure your database connection to begin automated replication that keeps your analytics environment current.

Kondado replicates Freshdesk data to PostgreSQL automatically on a user-configured schedule, providing four pipelines: Agents, Contacts, Tickets, and Ticket Custom Fields, totaling 87 fields including agent availability statuses, ticket priorities, contact phone numbers, and custom tags.

With your support data flowing into PostgreSQL, you can build custom reports in Power BI or Looker Studio, combine customer service metrics with financial data from other sources, and maintain updated analytics dashboards. This automated pipeline ensures your database always contains current ticket statuses, agent workloads, and customer contact information for comprehensive business intelligence without manual intervention.

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

The Freshdesk to PostgreSQL connection includes four specific pipelines that deliver comprehensive support operations data. The Tickets pipeline captures ticket IDs, subjects, status changes, and priority levels alongside creation timestamps, enabling you to analyze resolution times and backlog trends directly in SQL. The Agents pipeline brings in team member details including availability status and email addresses, allowing workforce managers to monitor capacity and response readiness. Combined with the Contacts pipeline containing customer phone numbers and creation dates, you can correlate support volume with customer segments and build attribution models that link service interactions to business outcomes.

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Freshdesk data available for PostgreSQL

4
available pipelines
87
extractable fields

Available integrations

Integration Description
Agents Table contains information about agents, including ID, name, email, availability status, and last updated timestamp.
Contacts Table presents contact data, such as ID, name, phone, email, and creation timestamp.
Tickets Table includes ticket details, such as ID, subject, status, priority, and creation and updated timestamps.
Tickets: custom fields Table presents custom fields of tickets, including unique ticket ID and associated tags.
Agents
Table contains information about agents, including ID, name, email, availability status, and last updated timestamp.
Contacts
Table presents contact data, such as ID, name, phone, email, and creation timestamp.
Tickets
Table includes ticket details, such as ID, subject, status, priority, and creation and updated timestamps.
Tickets: custom fields
Table presents custom fields of tickets, including unique ticket ID and associated tags.

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How to send Freshdesk data to PostgreSQL

Sync data automatically — no code, no manual exports.

1
Connect Freshdesk Data Source

Authenticate your Freshdesk account in Kondado by providing your API credentials, which allows the platform to access your support data for replication to PostgreSQL.

2
Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish the target location where your Freshdesk pipelines will load data.

3
Select Pipelines and Schedule

Choose which Freshdesk pipelines to activate from the available Agents, Contacts, Tickets, and Ticket Custom Fields options, then set your preferred update frequency from 5 minutes to daily intervals.

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Frequently Asked Questions (FAQ)

Answers about sending Freshdesk data to PostgreSQL automatically

How does Kondado replicate Freshdesk data to PostgreSQL?
Kondado connects to your Freshdesk account via API and automatically replicates selected data to your PostgreSQL database on your chosen schedule. The platform pulls information from the Agents, Contacts, Tickets, and Ticket Custom Fields pipelines, then loads it into your database on a configurable schedule without requiring manual exports or coding.
What Freshdesk data can I replicate to PostgreSQL?
You can replicate four distinct pipelines containing 87 fields total, including agent details like availability status and email, contact information such as phone numbers and creation dates, ticket data with subjects and priorities, and custom ticket fields with associated tags. This covers your complete support operation dataset for comprehensive analysis in your database.
How often does Freshdesk data update in PostgreSQL?
You configure the update frequency based on your analytics needs, with options ranging from every 5 minutes to daily schedules. This automated replication ensures your PostgreSQL database reflects current ticket statuses and agent workloads without overwhelming your API limits or database resources.
Can I combine Freshdesk data with other sources in PostgreSQL?
Yes, once your Freshdesk data resides in PostgreSQL, you can join it with data from CRM systems, billing platforms, or marketing tools that you also replicate through Kondado. This enables unified reporting across customer touchpoints, such as correlating support ticket volume with sales conversions or marketing campaign responses.
What format does Freshdesk data take in PostgreSQL?
Each pipeline creates structured tables in PostgreSQL with preserved data types, where Agents, Contacts, and Tickets each maintain their own relational datasets with fields like IDs, timestamps, and status indicators. The data arrives ready for SQL querying, allowing immediate use in Power BI, Looker Studio, or custom Python analytics scripts.
Do I need to map Freshdesk fields manually to PostgreSQL columns?
No, Kondado automatically maps the 87 available fields from Freshdesk to corresponding PostgreSQL columns during setup. The platform handles data type conversion and schema creation, so your Agents availability status, ticket priorities, and contact emails appear in properly formatted database columns without manual schema configuration.
Can I use Freshdesk data in PostgreSQL with visualization tools?
Absolutely, after replication you can connect Power BI, Looker Studio, or Google Sheets directly to your PostgreSQL database to build custom support dashboards. This allows you to visualize ticket resolution trends, agent performance metrics, and customer contact patterns alongside data from other business systems.

Try out all the features for free for 14 days