How to join Flat File and Performance Horizon

Discover how to join Flat File with Performance Horizon for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Flat File and Performance Horizon data into one target storage and analyze it with your BI Tool.
How to join Flat File and Performance Horizon with Pipes


About Flat File

A flat file is a database typically stored on host computer systems as unstructured files. To manipulate and access the structure of the data, the files must first be read completely in the computer's memory. The file is written out completely to the host file system after completion of the database operations. Flat files are often plain text or binary files.

About Performance Horizon

Performance Horizon provides a SaaS solutions for digital partner marketing and enables brands to directly connect with their marketing partners to increase customer acquisition and drive higher margin revenues from online marketing channels.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Flat File, Performance Horizon and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.