The question is: you have your data in MySQL, build your model in R, but now want to use the model to score your MySQL data on an on-going basis, what to do? MySQL users frequently use R for data mining and to build statistical models. They benefit from the RMySQL package which builds an interface between R and MySQL. R (as well as a host of other statistical tools) is able to export PMML (Predictive Model Markup Language) which is the standard way to represent data mining models (see PMML package in CRAN and PMML article in The R Journal). Mind that building a model is a very different task than deploying one or executing it. The model development phase is usually mostly made of data analysis and massaging as well as feature selection. During model execution all you need are the most important data pieces (a much smaller sample of data fields than what you used during model development) to generate your decisions. In addition, the required pre- processing can be represented in PMML (for more on pre-processing and PMML, see http://adapasupport.zementis.com/2009/06/examining-pmml-40-part-i-pre-processing.html) . Model Deployment: Once a model exists, it can be easily uploaded in the ADAPA Score Engine which makes models available right away for execution via Web Services. ADAPA is available as a service on the Amazon Cloud. It is capable of executing models in real-time and it costs less than $1/hour. Model Execution: The task then is to extract data from your MySQL database, score it, and write the scored data back into the database. You can easily do that by using yet another open source tool: Jitterbit. It allows for data to be mapped from MySQL into a Web Service Call to ADAPA which returns the data back to Jitterbit and MySQL. Process in Detail - Blog: We have described this process on a step-by- step basis here: http://adapasupport.zementis.com/2009/04/scoring-data-from-your-database-in.html Process in Detail - Video: We have also made a video describing this process. Check it out at http://www.zementis.com/videos/Jitterbit_Database.htm Hope you find this information useful!