How to join Affilinet and Rserve

Discover how to join Affilinet with Rserve for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Affilinet and Rserve data into one target storage and analyze it with your BI Tool.
How to join Affilinet and Rserve with Pipes


About Affilinet

Affilinet delivers solutions for real time advertising and affiliate marketing and has become well-known for its high security standards as well as for quality and transparency in performance marketing. Besides these result-oriented online marketing solutions for data-driven advertising and the affiliate network Affilinet offers services like advice and support for choosing and implementing lead generation campaigns and performance marketing programs.

About Rserve

Rserve is a TCP/IP server which allows third-party programs to use facilities of R from various languages without the need to initialize R or link against the R library. Every connection has a separate workspace and working directory. Rserve supports remote connection, authentication and file transfer. Typical use is to integrate the R backend for the computation of statstical models or plots in other applications.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Affilinet, Rserve 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:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.