No-code pipeline · Zendesk Chat (Zopim) → PostgreSQL

Send data from Zendesk Chat (Zopim) to PostgreSQL

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From Zendesk Chat (Zopim) to PostgreSQL: managed, scheduled, no code.

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

Connect Zendesk Chat (Zopim) now →

Send Zendesk Chat (Zopim) Data to PostgreSQL

How to send Zendesk Chat (Zopim) data to PostgreSQL? Kondado provides a no-code solution that lets you replicate your live chat metrics and conversation data to the world’s most advanced open-source database without writing code. You simply authenticate your Zendesk Chat account, choose your PostgreSQL destination, and select which data pipelines you want to replicate on a configurable schedule.

Once connected, Kondado automatically keeps your PostgreSQL database updated with fresh chat data, enabling you to build custom reports and analyze customer interactions alongside other business data. This automated pipeline eliminates manual data exports and ensures your analytics always reflect the latest customer conversations.

Kondado replicates Zendesk Chat (Zopim) data to PostgreSQL automatically on a configurable schedule, extracting chat metrics, visitor details, agent performance, and session data to enable advanced analytics and custom reporting in your open-source database environment.

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

Available Pipelines and Use Cases

The Chats pipeline delivers comprehensive conversation data including duration metrics, average response times, and satisfaction ratings directly into your PostgreSQL environment. With 76 available fields covering visitor names, agent assignments, and complete session data, you can construct detailed performance dashboards that track support team efficiency and customer experience quality.

Combine this chat data with CRM records or sales information in PostgreSQL to calculate conversion rates from live support interactions, identify peak traffic periods requiring additional staffing, or correlate response times with customer satisfaction scores. These insights help optimize your support operations and demonstrate the ROI of your live chat investment through measurable business outcomes.

FAQ

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Replicated to PostgreSQL

Zendesk Chat (Zopim) data available for PostgreSQL

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

available pipeline

extractable fields

PostgreSQL

Destination

Available integrations

Chats

Chats table includes information such as duration, average response time, and satisfaction rating. Fields include id, visitor name, agent name, and session data.

See all available data → Send Zendesk Chat (Zopim) to PostgreSQL →

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How to send Zendesk Chat (Zopim) data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Zendesk Chat (Zopim) Account

Authenticate your Zendesk Chat (Zopim) data source by providing your API credentials in the Kondado interface to establish the initial connection.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, port, database name, and credentials to designate where your chat data will land.

Select Pipelines and Schedule

Choose the Chats pipeline and configure your update frequency to replicate data on a configurable schedule ranging from every 5 minutes to daily intervals.

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Send data from Zendesk Chat (Zopim) to other destinations

Zendesk Chat (Zopim) > Looker Studio

Zendesk Chat (Zopim) > Power BI

Other visualizations

Zendesk Chat (Zopim) > Amazon S3

Zendesk Chat (Zopim) > BigQuery

Zendesk Chat (Zopim) > Excel

Zendesk Chat (Zopim) > Google Sheets

Zendesk Chat (Zopim) > MySQL

Zendesk Chat (Zopim) > PostgreSQL

Zendesk Chat (Zopim) > Redshift

Zendesk Chat (Zopim) > SQL Server

Choose a tool to visualize your Zendesk Chat (Zopim) data

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

Zendesk Chat (Zopim) > Airtable

Zendesk Chat (Zopim) > Alteryx

Zendesk Chat (Zopim) > Amazon Quicksight

Zendesk Chat (Zopim) > BIMachine

Zendesk Chat (Zopim) > Cortex

Zendesk Chat (Zopim) > Data Studio

Zendesk Chat (Zopim) > Geckoboard

Zendesk Chat (Zopim) > Grafana

Zendesk Chat (Zopim) > IBM Cognos Analytics

Zendesk Chat (Zopim) > Klipfolio

Zendesk Chat (Zopim) > Looker Studio

Zendesk Chat (Zopim) > Looker

Zendesk Chat (Zopim) > Looqbox

Zendesk Chat (Zopim) > Metabase

Zendesk Chat (Zopim) > Microstrategy

Zendesk Chat (Zopim) > Pentaho

Zendesk Chat (Zopim) > Power BI

Zendesk Chat (Zopim) > Qlik Cloud Analytics

Zendesk Chat (Zopim) > Qlik Sense

Zendesk Chat (Zopim) > Qlik

Zendesk Chat (Zopim) > QlikView

Zendesk Chat (Zopim) > Redash

Zendesk Chat (Zopim) > Superset

Zendesk Chat (Zopim) > Tableau

Zendesk Chat (Zopim) > BI TOTVS

Zendesk Chat (Zopim) > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Zendesk Chat (Zopim) data to PostgreSQL automatically

How do I export Zendesk Chat data to PostgreSQL without coding? ▼

Kondado provides a no-code interface where you authenticate your Zendesk Chat (Zopim) account and select PostgreSQL as your destination. The platform handles the schema creation and data extraction automatically, eliminating the need for custom API scripts or manual CSV exports.

What specific chat metrics can I replicate from Zopim to PostgreSQL? ▼

The Chats pipeline includes 76 fields capturing conversation duration, average response time, satisfaction ratings, visitor identifiers, and agent assignments. You also receive complete session data that tracks the full lifecycle of each customer interaction from start to finish.

How often does Zendesk Chat data update in my PostgreSQL database? ▼

Kondado updates your PostgreSQL database on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This automated refresh ensures your analytics reflect recent customer conversations without manual intervention.

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

Yes, you can replicate data from multiple sources into the same PostgreSQL instance, joining chat metrics with CRM records, sales data, or website analytics. This unified approach enables comprehensive analysis of how live support interactions influence conversion rates and customer lifetime value.

What PostgreSQL data types are used for Zendesk Chat fields? ▼

Kondado automatically maps Zendesk Chat fields to appropriate PostgreSQL data types, storing timestamps as timestamp fields, numeric metrics like response times as integers or decimals, and text fields such as visitor names as varchar or text columns. This proper schema management ensures optimal query performance and data integrity.

How do I analyze Zendesk Chat conversation duration in PostgreSQL? ▼

Once your chat data lands in PostgreSQL, you can write SQL queries to calculate average conversation lengths by agent, identify trends in chat complexity over time, or correlate duration metrics with satisfaction scores. These analyses help optimize staffing levels and identify training opportunities for your support team.

Can I send Zendesk Chat data to PostgreSQL and Power BI simultaneously? ▼

Yes, you can configure multiple destinations for your Zendesk Chat (Zopim) data, sending the same pipelines to PostgreSQL for storage while also connecting to Power BI or Looker Studio for visualization. This multi-destination approach ensures both your data warehouse and business intelligence tools stay synchronized.

What happens to historical Zendesk Chat data when I first connect? ▼

During initial setup, Kondado extracts your existing Zendesk Chat conversation history based on the pipelines you select, loading past records into your PostgreSQL database to establish your analytical baseline. Once this initial load completes, the system continues with incremental updates according to your configured schedule. ### HowTo

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