RStudio Connect(s) your data science products to your clients.
April 21, 2022

RStudio Connect(s) your data science products to your clients.

Andrew Choens | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

We license the RStudio Connect (RSC) product from RStudio. We also use, for free, the open source packages and development environment offered by RStudio. Without going into specifics, our Connect license is about 1/6th the cost of our QlikView license, which we will discontinue once we are done porting legacy dashboards off of it. A direct comparison between Qlik and RSC is unfair. Products such as QlikView and PowerBI are BI tools which licensed users use to build dashboards. I refer to RSC as a content management platform for data science. We use it to: Validate our data and alert us to problems. Email reports to clients in PDF and Excel. Upload data to FTP servers and to send HL7 messages (via a HL7 engine). Hosts our internal API. Host machine learning models. Host custom-built dashboards. And, staff love developing against it.I could calculate an ROI for everything, except staff satisfaction. But the value add is there and it is valuable.
  • Deliver data/insights to customers
  • Multi-language (R, Python)
  • Empower staff
  • The name causes people to incorrectly think it is an R-focused product. It isn't.
  • We will save money replacing legacy dashboard tools.
RStudio is more than a home for a dashboard. It is a content management system for data science. It hosts models, APIs, runs scripts, AND hosts dashboards.

Do you think Posit delivers good value for the price?

Yes

Are you happy with Posit's feature set?

Yes

Did Posit live up to sales and marketing promises?

Yes

Did implementation of Posit go as expected?

Yes

Would you buy Posit again?

Yes

Well Suited: Doing data science. Not Well Suited: It isn't a rapid application tool/environment for CRUD applications.

Posit Feature Ratings

Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
7
Visualization
10
Interactive Data Analysis
10
Data Transformations
10
Multiple Model Development Languages and Tools
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
10