No-code pipeline · Huggy → PostgreSQL

Send data from Huggy to PostgreSQL

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

Kondado replicates Huggy data to PostgreSQL on a configurable schedule, offering four pipelines including Agents, Contacts, Chats, and Chat Satisfaction Surveys with 33 total fields, enabling automated data warehousing for customer service analytics.

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Send Huggy Data to PostgreSQL Automatically

Kondado provides a direct connection between Huggy and PostgreSQL, allowing you to replicate your customer communication data without writing code. Simply connect your Huggy account as a data source, configure your PostgreSQL database as the destination, and select which pipelines you want to replicate. The platform handles the data extraction and loading automatically on your chosen schedule, whether you need updates every 5 minutes or daily batches. Once configured, your Huggy agents, contacts, and chat records flow continuously into PostgreSQL, ready for complex SQL analysis and business intelligence workflows.

With your Huggy data residing in PostgreSQL, you can combine customer interaction records with other business datasets to build comprehensive performance dashboards. This setup empowers support teams and marketing analysts to track response times, measure satisfaction trends, and optimize omnichannel communication strategies using standard SQL queries and their preferred visualization tools.

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The available pipelines include Agents, Contacts, and Chats, each serving distinct analytical needs within your PostgreSQL environment. The Agents pipeline delivers workforce data that enables you to calculate individual performance metrics and department-level productivity trends using standard SQL aggregations. Meanwhile, the Chats and Chat Satisfaction Surveys pipelines provide granular interaction records and feedback scores, allowing you to correlate conversation volumes with customer sentiment and identify coaching opportunities. By storing this structured data in PostgreSQL, you can join Huggy communication metrics with sales or financial data to create unified reports in Power BI, Looker Studio, or Google Sheets for complete business visibility.

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Replicated to PostgreSQL

Huggy data available for PostgreSQL

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

available pipelines

extractable fields

PostgreSQL

Destination

Available integrations

Agents

Table contains information about agents, including fields such as id, name, and department.

Contacts

Table presents contacts with fields such as id, name, phone, and email, enabling efficient lead management.

Chats

Table records chat details, including id, contactid, agentid, and timestamps such as createdat and closedat.

Chat Satisfaction Surveys

Table contains chat feedback, with fields such as chat_id, feedback_score, and feedback_text, allowing satisfaction analysis.

See all available data → Send Huggy to PostgreSQL →

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How to send Huggy data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Huggy Account

Authenticate your Huggy account through Kondado's interface to establish the data source connection. The platform will automatically detect available pipelines including Agents, Contacts, and Chats from your Huggy environment.

Configure PostgreSQL Database

Enter your PostgreSQL database credentials and specify the target schema where replicated datasets will reside. Kondado validates the connection to ensure your PostgreSQL instance is ready to receive the incoming data.

Select Pipelines and Schedule

Choose which of the four available pipelines to replicate and define your update frequency from 5-minute intervals to daily batches. Once activated, Kondado automatically maintains your PostgreSQL database with fresh Huggy data on the configured timeline.

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Send data from Huggy to other destinations

Huggy > Looker Studio

Huggy > Power BI

Other visualizations

Huggy > Amazon S3

Huggy > BigQuery

Huggy > Excel

Huggy > Google Sheets

Huggy > MySQL

Huggy > PostgreSQL

Huggy > Redshift

Huggy > SQL Server

Choose a tool to visualize your Huggy data

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

Huggy > Airtable

Huggy > Alteryx

Huggy > Amazon Quicksight

Huggy > BIMachine

Huggy > Cortex

Huggy > Data Studio

Huggy > Geckoboard

Huggy > Grafana

Huggy > IBM Cognos Analytics

Huggy > Klipfolio

Huggy > Looker Studio

Huggy > Looker

Huggy > Looqbox

Huggy > Metabase

Huggy > Microstrategy

Huggy > Pentaho

Huggy > Power BI

Huggy > Qlik Cloud Analytics

Huggy > Qlik Sense

Huggy > Qlik

Huggy > QlikView

Huggy > Redash

Huggy > Superset

Huggy > Tableau

Huggy > BI TOTVS

Huggy > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Huggy data to PostgreSQL automatically

How do I connect Huggy to PostgreSQL without coding? ▼

Kondado offers a no-code interface where you authenticate your Huggy account and provide your PostgreSQL connection credentials. The platform automatically discovers available pipelines and handles the schema creation in your database, eliminating the need for manual API programming or ETL development.

What specific Huggy data can I replicate to PostgreSQL? ▼

You can replicate four distinct pipelines including agent profiles with department assignments, contact records with phone and email details, complete chat histories with timestamps, and satisfaction survey responses with feedback scores. This covers 33 fields total across customer service operations and lead management activities.

How frequently can I schedule Huggy data updates in PostgreSQL? ▼

Kondado supports automated replication on a configurable schedule ranging from every 5 minutes to daily intervals. You select the frequency during setup based on your analytical needs, ensuring your PostgreSQL database reflects recent customer interactions without manual refreshes.

Can I combine Huggy data with other sources in PostgreSQL? ▼

Yes, PostgreSQL allows you to join Huggy communication metrics with data from other platforms like CRM systems or e-commerce databases. You can also send consolidated datasets to BigQuery, MySQL, or Amazon S3 for broader enterprise analysis.

What format does Huggy data take in PostgreSQL tables? ▼

Huggy data arrives as structured relational tables with appropriate data types for each field, such as integer IDs, timestamp columns for createdat and closedat, and text fields for feedback entries. This standard SQL format supports immediate querying through your preferred business intelligence tools.

Do I need technical skills to set up Huggy PostgreSQL replication? ▼

While basic database knowledge helps, Kondado simplifies the process through an intuitive interface that handles API authentication and table creation automatically. Non-technical users can complete the setup by following guided steps to connect their Huggy account and PostgreSQL destination.

Try out all the features for free for 14 days

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