Get started

How to connect kdb+ to R

Discover how to connect kdb+ to R and how to integrate kdb+ with other data sources to build an organization-wide data model.

WITH DATA VIRTUALITY PIPES
Replicate kdb+ into a target storage and analyze it with R.
How to connect kdb+ to R with Pipes
Learn How


About kdb+

kdb+ is a relational time series database (TSDB) with in-memory (IMDB) capabilities. The database is tipically used in high-frequency trading (HFT) to store, analyze, process, and retrieve big data sets at high speed. Financial institutions use kdb+ to analyze time series data such as stock exchange data.

About R

R is a software environment and programming language supported by the R Foundation for statistical computing and for statistical graphics and computing. Data miners and statisticians use the language R for developing statistical software. Source code for the R software environment is primarily written in Fortran, C, and R.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to kdb+, R 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.
©2021 Data Virtuality