We are pleased to announce the latest update of the open source ROracle package, version 1-1.11, with enhancements and bug fixes. ROracle provides high performance and scalable interaction from R with Oracle Database. In addition to availability on CRAN, ROracle binaries specific to Windows and other platforms can be downloaded from the Oracle Technology Network. Users of ROracle, please take our brief survey. We want to hear from you!
Latest enhancements in version 1-1.11 of ROracle:
• Performance enhancements for RAW data types and large result sets
• Ability to cache the result set in memory to reduce memory consumption on successive reads
• Added session mode to connect as SYSDBA or using external authentication
• bug 17383542: Enhanced dbWritetable() & dbRemoveTable() to work on global schema
Users of ROracle are quite pleased with the performance and functionality:
"In my position as a quantitative researcher, I regularly analyze database data up to a gigabyte in size on client-side R engines. I switched to ROracle from RJDBC because the performance of ROracle is vastly superior, especially when writing large tables. I've also come to depend on ROracle for transactional support, pulling data to my R client, and general scalability. I have been very satisfied with the support from Oracle -- their response has been prompt, friendly and knowledgeable."
-- Antonio Daggett, Quantitative Researcher in Finance Industry
"Having used ROracle for over a year now with our Oracle Database data, I've come to rely on ROracle for high performance read/write of large data sets (greater than 100 GB), and SQL execution with transactional support for building predictive models in R. We tried RODBC but found ROracle to be faster, much more stable, and scalable."
-- Dr. Robert Musk, Senior Forest Biometrician, Forestry Tasmania