How to combine data from Freshcaller with Amazon Aurora (PostgreSQL Edition)

Pipes allows you to quickly Integrate Freshcaller with Amazon Aurora (PostgreSQL Edition) data for a combined analysis.
Load data from Freshcaller and Amazon Aurora (PostgreSQL Edition) into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Freshcaller, Amazon Aurora (PostgreSQL Edition), 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 Freshcaller and Amazon Aurora (PostgreSQL Edition)

You just need to enter the associated credentials to allow Pipes access to the Freshcaller API and the Amazon Aurora (PostgreSQL Edition) API.
3

Combine data from Freshcaller and Amazon Aurora (PostgreSQL Edition)

Pipes lets you select the data from Freshcaller and Amazon Aurora (PostgreSQL Edition) that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Freshcaller

Freshcaller is a cutting-edge cloud-based call center software designed to streamline and enhance communication processes for businesses of all sizes. With its intuitive features and robust capabilities, Freshcaller empowers organizations to provide exceptional customer service while optimizing agent productivity. Our Freshcaller API data connector offers seamless call center data replication into relational data warehouses. By leveraging the Freshcaller API data connector, businesses can optimize their call center operations, enhance productivity, and deliver exceptional customer experiences.

About Amazon Aurora (PostgreSQL Edition)

Amazon Aurora is a relational database service developed and offered by Amazon Web Services beginning. Aurora is available as part of the Amazon Relational Database Service (RDS). Aurora is designed to be compatible with PostgreSQL, meaning that tools for querying or managing PostgreSQL databases can be used.

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.