How to connect Rserve to Information Builders

Discover how to connect Rserve to Information Builders and how to integrate Rserve with other data sources to build an organization-wide data model.

WITH DATA VIRTUALITY PIPES
Replicate Rserve into a target storage and analyze it with Information Builders.
How to connect Rserve to Information Builders with Pipes


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.

About Information Builders

Information Builders provides software solutions for data management and Business Intelligence. Clients can build dashboards, reportings and data visualization from the Information Builders platform. Information Builders serves different industries spread from the banking sector to manufacturers or public institutions.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Rserve, Information Builders 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.