Professor of Health Services Research (now Emeritus) at a university with 1,001-5,000 employees
Real User
Top 20
Apr 28, 2025
I rate my experience with RStudio Connect as average because I am not yet comfortable enough to provide a definitive assessment. I prefer to use KNIME but acknowledge that RStudio Connect can be useful for producing R code. If there's something that KNIME cannot do but R can do, I would use R. I would rate the overall solution as 5 out of 10.
As an enterprise architect, I observed various user groups and conducted capability mapping exercises. Through interviewing these diverse user groups, I recognized a strong potential in consolidating them onto a unified platform. Three years ago, I brought them to RStudio Connect. However, instead of utilizing the task option, we opted for a local installation. To handle large model processing, we provisioned a dedicated service server allowing up to four users to simultaneously log in and execute their modeling jobs. Nevertheless, this approach now seems somewhat outdated—a legacy method. We aimed to explore alternatives rather than solely relying on infrastructure to bolster our large-scale computational capabilities. Upon evaluation, RStudio Connect appears to be a promising solution due to its robust capabilities. RStudio Connect has its utility, and Databricks is supposed to be used in a different way. RStudio is for the functions and features you need to model, whereas Databricks is more for an analysis plot form where we can do a big data analysis. RStudio is a great tool. Many people should be using it. SAS has its utility. It has become the SAP of the ERP. Overall, I rate the solution an eight out of ten.
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I rate my experience with RStudio Connect as average because I am not yet comfortable enough to provide a definitive assessment. I prefer to use KNIME but acknowledge that RStudio Connect can be useful for producing R code. If there's something that KNIME cannot do but R can do, I would use R. I would rate the overall solution as 5 out of 10.
As an enterprise architect, I observed various user groups and conducted capability mapping exercises. Through interviewing these diverse user groups, I recognized a strong potential in consolidating them onto a unified platform. Three years ago, I brought them to RStudio Connect. However, instead of utilizing the task option, we opted for a local installation. To handle large model processing, we provisioned a dedicated service server allowing up to four users to simultaneously log in and execute their modeling jobs. Nevertheless, this approach now seems somewhat outdated—a legacy method. We aimed to explore alternatives rather than solely relying on infrastructure to bolster our large-scale computational capabilities. Upon evaluation, RStudio Connect appears to be a promising solution due to its robust capabilities. RStudio Connect has its utility, and Databricks is supposed to be used in a different way. RStudio is for the functions and features you need to model, whereas Databricks is more for an analysis plot form where we can do a big data analysis. RStudio is a great tool. Many people should be using it. SAS has its utility. It has become the SAP of the ERP. Overall, I rate the solution an eight out of ten.