How to combine data from FTP/SFTP/SCP with PostgreSQL

Pipes allows you to quickly Integrate FTP/SFTP/SCP with PostgreSQL data for a combined analysis.
Load data from FTP/SFTP/SCP and PostgreSQL into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to FTP/SFTP/SCP, PostgreSQL, 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 FTP/SFTP/SCP and PostgreSQL

You just need to enter the associated credentials to allow Pipes access to the FTP/SFTP/SCP API and the PostgreSQL API.
3

Combine data from FTP/SFTP/SCP and PostgreSQL

Pipes lets you select the data from FTP/SFTP/SCP and PostgreSQL that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About FTP/SFTP/SCP

FTP, SFTP and SCP are different internet protocols to access data server for downloading or uploading data.

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. Automate both data retrieval from and loading into your PostgreSQL database with our connector. Learn more about our PostgreSQL data connector in its connector documentation.

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.