Load Data from Freshdesk to PostgreSQL in Minutes

Bring data from Freshdesk to PostgreSQL with just a few clicks without writing code. Get analysis-ready data in your warehouse in real-time.

Data Driven Companies Trust Hevo

NO SET-UP, NO-CODE. INSTANT DATA LOAD.

With just a few clicks, connect your Freshdesk account to PostgreSQL and watch your data load in real-time. Experience a hassle-free, zero-maintenance data load.

Start 14-Day Free Trial

COMBINE AND ANALYZE DATA FROM Freshdesk AND MANY OTHER SOURCES

Hevo supports 100+ ready-to-use integrations across SaaS Apps, Cloud Storage, SDK & Streaming services. Bring data from any source into Redshift in minutes

Redshift
MS SQL Server
Salesforce
Zendesk
Asana
JIRA
Shopify
Trello
Mixpanel
Google Analytics
Segment
Localytics
Clevertap
Marketo
HubSpot
Google Ads

View all Integrations

TRANSFORM AND MODEL DATA IN YOUR WAREHOUSE

Enrich, filter, aggregate and segment raw Freshdesk data to make it analysis-friendly. Whether you want to standardize timezones, convert currencies, or simply aggregate campaign data for faster analysis, automate tedious data preparation tasks with Hevo.

WHY MODERN DATA TEAMS LOVE HEVO

Easy to Set-up

Get all your Freshdesk data in your PostgreSQL data warehouse in just a few clicks without much developer assistance.

Zero Maintenance

Leave behind data replication code and script maintenance. Setup once and let Hevo manage all your future changes automatically.

Completely Automated

Automate your Freshdesk data flow without writing any custom configurations. Further, Hevo flags and resolves any errors detected.

DERIVE MEANINGFUL INSIGHTS FROM YOUR Freshdesk DATA

Freshdesk

About Freshdesk

Freshdesk is a cloud-based helpdesk solution. It provides a robust ticketing system that allows you to track and resolve customer service requests across multiple channels that include live chat, phone call, email, and social media.

PostgreSQL

About PostgreSQL

PostgreSQL is an open-source object-relational database system. Its scalability, reliability, and extensive querying layer have made it a popular choice for use cases ranging from OLTP workloads to data analytics setups.

Improve Customer Satisfaction

Analyze customer engagement across email, chat, phone and more. Combine this data with customer touchpoints across other channels and identify drivers to increase customer happiness.

Increase Agent Productivity

Measure the performance of your agents, identify gaps and key areas of improvement. Unlock opportunities to increase the teams' efficiency.

Enhance Customer Experience

Unify customer data across all channels. Enable support agents to leverage this data to deliver contextual, timely, and personalized customer experiences.

Free Ebook

How to Build a Robust Marketing Analytics Stack