How to load your data from FTP/SFTP/SCP to Oracle Database

Pipes allows you to automatically replicate your FTP/SFTP/SCP data into Oracle Database on your defined schedule.
Load all your data from FTP/SFTP/SCP to Oracle Database to instantly get access to your FTP/SFTP/SCP data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your FTP/SFTP/SCP data into Oracle Database. 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 Oracle Database

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

Connect to FTP/SFTP/SCP

Just enter your credentials to allow Pipes access to the FTP/SFTP/SCP API. Then Pipes is able to retrieve your data from FTP/SFTP/SCP.
3

Create a data pipeline from FTP/SFTP/SCP to Oracle Database

Pipes lets you select the data from FTP/SFTP/SCP you want to have in Amazon Redshift. This pipeline 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 Oracle Database

Oracle develops enterprise software products, cloud engineered systems and database Management systems. Oracle’s tools for database development include Customer Relationship (CRM) software, Enterprise Resource Planning (ERP) software and Supply Chain Management (SCM) software as well as middle-tier software 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.