How to load your data from LiveChat to PostgreSQL

Pipes allows you to automatically replicate your LiveChat data into PostgreSQL on your defined schedule.
Load all your data from LiveChat to PostgreSQL to instantly get access to your LiveChat data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your LiveChat data into PostgreSQL. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​
1

Connect to PostgreSQL

This will be the destination of all data pipelines you build. Besides PostgreSQL, Pipes supports the most used relational databases in the cloud and on-premises.
2

Connect to LiveChat

Just enter your credentials to allow Pipes access to the LiveChat API. Then Pipes is able to retrieve your data from LiveChat.
3

Create a data pipeline from LiveChat to PostgreSQL

Pipes lets you select the data from LiveChat you want to have in Amazon Redshift. This pipeline will run automatically on your defined schedule!

About LiveChat

LiveChat is an online customer service software with live support, help desk application and web analytics capabilities. Companies use LiveChat as a single point of contact to manage all customer service and online sales activities from one software.

About PostgreSQL

PostgreSQL is a powerful open-source object-relational database system. By supporting UNIX, Linux, BSD, AIX, SGI IRIX, HP-UX, Solaris, Mac OS X, Tru64, and Windows PostgreSQL runs on all major operating systems.

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.