How to combine data from Freshdesk with ClickHouse

Pipes allows you to quickly Integrate Freshdesk with ClickHouse data for a combined analysis.
Load data from Freshdesk and ClickHouse into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Freshdesk, ClickHouse, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to Freshdesk and ClickHouse

You just need to enter the associated credentials to allow Pipes access to the Freshdesk API and the ClickHouse API.
3

Combine data from Freshdesk and ClickHouse

Pipes lets you select the data from Freshdesk and ClickHouse that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Freshdesk

Freshdesk is a cloud-based customer support software and helpdesk solution. The platform offers a comprehensive set of tools and features to help businesses support and advice their customers.

About ClickHouse

ClickHouse is an open-source column-oriented DBMS (columnar database management system) for online analytical processing (OLAP) and allows to run fast analytics on large amount of data. It uses its own SQL dialect and it matches pl/pgSQL in terms of expressivity and simplicity.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.