Microsoft's SharePoint is an Intranet solution that enables users to share and manage content, knowledge, and applications to empower teamwork, quickly find information, and collaborate across the organization.
$5
Per User Per Month
Posit
Score 10.0 out of 10
N/A
Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
SharePoint Document Management excels as a central repository for storing, organising, and retrieving documents. It supports version control, metadata tagging, secure access, and integration with tools like Power Automate. At our organisation, it's used for managing contracts, policies, and supplier documents. SharePoint Workflow Automation integrates with Power Automate to streamline approvals, gather feedback, and automate recurring tasks. This reduces reliance on email chains and manual trackers.
In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
Windows Explorer users have some difficulty having to constantly UPLOAD / DOWNLOAD files. Specifically on the DOWNLOAD when they are used to Drag & Drop in & out of LOCAL folders via Window's explorer.
Microsoft SharePoint supports multiple "library" types. When implementing our "image" library the search function is done via "tags" and boolean logic. This is challenging to most end users. I'd like our users to be able to search our Microsoft SharePoint image library without having to enter KEYWORD or other BOOLEAN logic.
Microsoft SharePoint can also be an internal website for each department or company wide communication tool but I believe these features are geared for much larger organizations. Since we are a SMB we really aren't using these features. So maybe something more useful to SMBs would be nice.
Python integration is newer and still can be rough, especially with when using virtual environments.
RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
It's integral to our business. It's already included with most of the Office 365 licensing we buy, so the cost is effectively zero. It stores our files, it is the foundation for custom applications, and Microsoft only continues to enhance its functionality and its connections to other Microsoft tools. SharePoint just keeps getting better and better.
There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
No usability issues reported. Individual teams also have allocated areas which replace legacy shared drives on local LANs. Access to Sharepoint resources is fully integrated with corporate Active Directory with additional two-factor authentication required for administrative users. Users have access to Microsoft Services Hub which allows you to create, manage, and track support requests while staying current on Microsoft technologies with access to select self-paced learning paths
For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
The face to face training I received was on SharePoint Administration. It was rushed as there was a lot of information to cover and the application of the labs weren't that great either. I like to be able to relate what I am learning to what I am currently doing.
I like to learn at my own pace and online training allows for that. Additionally, you can skip through pieces of content that you already know or are already comfortable with. Microsoft actually offers great videos on their website for basic fundamental SharePoint Training. I have used these training videos in some of my own training sessions with end users.
The reasons for selecting MS SharePoint are: SharePoint provides ease of use and web design assistance and support SharePoint helps you schedule your content for publishing. enables users to share documents with external parties and offers a better internal structure of the content and better indexing and searching capabilities.
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
