RStudio vs Oracle Analytics Cloud

RStudio is a powerful web- and cloud-based BI platform with excellent statistical analysis and data science capabilities. Integrating with cloud computing technologies, the platform has good machine learning capabilities to power data analysis by providing a wide range of features for data recovery, presentation and interpretation. It provides rich built-in visualization libraries with pre-set charts and functions that drastically reduce the need to code. Many users who reviewed its UI said that the interface was user-friendly and easy to navigate, though some users said that it looked dated and could do with an upgrade. Quite a few users who reviewed the platform for data analysis said that it was easy to run statistical and regression tests with minimal coding, and coupled with an open-source server, this platform served their data needs well. On the flip side, many users who reviewed the tool for performance said that it consumes a lot of memory and lags behind its competitors in speed. Quite a lot of users mentioned that the platform could be buggy at times and was prone to crashes, possibly because some libraries were not optimized for performance with large datasets. Many users found it confusing to access the open-source version, especially since separate versions of the platform work differently with some library packages. Some users complained that the code run, once started, could not be stopped and the stop button on the interface didn’t work. A majority of users who reviewed the learning curve as a feature said that the help section was difficult to understand and previous knowledge of R was required to leverage the tool to its fullest. In summary, RStudio is a versatile and extensible BI tool powered by machine learning and is capable of insightful statistical data analysis and forecasting capabilities.

Oracle Analytics Cloud is among the vendor’s many data services, including a business intelligence suite and a data intelligence platform. Besides, Oracle offers bespoke solutions for HCM, supply chain and customer experience. What differentiates Oracle Analytics is that extra dash of augmented capabilities.Embedded BI is where it truly shines, giving you natural language insights with a single click. This feature extends to its mobile app, and it outperforms many leading platforms with natural language queries and podcasts on mobile.According to our researchers, Oracle Analytics Cloud has fewer out-of-the-box features than its competitors, such as Power BI and Qlik Sense. Plus, licensing becomes complex when combining the database, middleware and analytics applications.It’s common for large vendors to offer specialized platforms, but the downside is that they can be out of reach of small organizations. But there’s a silver lining. Many vendors offer customized solutions, so we advise reaching out to the vendor for quotes.Users appreciate its regular updates, but some report initial bugs due to its relative newness. Despite a positive user experience, the learning curve can be steep. Some users found technical support slow and inadequate, as did I. They took two business days to get back to me when I needed assistance with my account.Oracle Analytics, though a robust platform, is suitable for mid- and large organizations. If you seek a powerful, scalable platform, consider opting for a trial, but be prepared for sticker shock, especially if you’re new to the Oracle ecosystem.