What users are saying about
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Top Rated
221 Ratings
14 Ratings
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Score 7.3 out of 100

RStudio

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Top Rated
221 Ratings
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Score 8.9 out of 100

Feature Set Ratings

  • RStudio ranks higher in 5 feature sets: Platform Connectivity, Data Exploration, Data Preparation, Platform Data Modeling, Model Deployment

Platform Connectivity

7.5

Data Science Workbench

75%
8.1

RStudio

81%
RStudio ranks higher in 3/4 features

Connect to Multiple Data Sources

7.0
70%
2 Ratings
8.4
84%
20 Ratings

Extend Existing Data Sources

8.0
80%
2 Ratings
8.3
83%
21 Ratings

Automatic Data Format Detection

7.0
70%
2 Ratings
7.7
77%
20 Ratings

MDM Integration

8.0
80%
2 Ratings
N/A
0 Ratings

Data Exploration

7.6

Data Science Workbench

76%
8.8

RStudio

88%
RStudio ranks higher in 2/2 features

Visualization

7.1
71%
2 Ratings
8.9
89%
21 Ratings

Interactive Data Analysis

8.0
80%
2 Ratings
8.7
87%
19 Ratings

Data Preparation

7.8

Data Science Workbench

78%
8.4

RStudio

84%
Cloudera Data Science Workbench ranks higher in 2/4 features

Interactive Data Cleaning and Enrichment

7.0
70%
2 Ratings
8.2
82%
18 Ratings

Data Transformations

8.0
80%
2 Ratings
8.5
85%
20 Ratings

Data Encryption

8.0
80%
2 Ratings
N/A
0 Ratings

Built-in Processors

8.0
80%
2 Ratings
N/A
0 Ratings

Platform Data Modeling

7.6

Data Science Workbench

76%
8.4

RStudio

84%
RStudio ranks higher in 3/4 features

Multiple Model Development Languages and Tools

8.0
80%
2 Ratings
8.5
85%
17 Ratings

Automated Machine Learning

7.0
70%
1 Rating
N/A
0 Ratings

Single platform for multiple model development

7.1
71%
2 Ratings
8.6
86%
17 Ratings

Self-Service Model Delivery

8.1
81%
2 Ratings
8.2
82%
16 Ratings

Model Deployment

8.0

Data Science Workbench

80%
8.2

RStudio

82%
RStudio ranks higher in 2/2 features

Flexible Model Publishing Options

8.1
81%
2 Ratings
8.2
82%
15 Ratings

Security, Governance, and Cost Controls

7.8
78%
2 Ratings
8.3
83%
13 Ratings

Attribute Ratings

  • RStudio is rated higher in 2 areas: Likelihood to Recommend, Support Rating

Likelihood to Recommend

8.9

Data Science Workbench

89%
3 Ratings
9.0

RStudio

90%
118 Ratings

Likelihood to Renew

Data Science Workbench

N/A
0 Ratings
9.4

RStudio

94%
17 Ratings

Usability

Data Science Workbench

N/A
0 Ratings
10.0

RStudio

100%
3 Ratings

Availability

Data Science Workbench

N/A
0 Ratings
9.4

RStudio

94%
3 Ratings

Support Rating

7.7

Data Science Workbench

77%
3 Ratings
7.9

RStudio

79%
16 Ratings

Implementation Rating

Data Science Workbench

N/A
0 Ratings
9.1

RStudio

91%
4 Ratings

Product Scalability

Data Science Workbench

N/A
0 Ratings
8.1

RStudio

81%
3 Ratings

Likelihood to Recommend

Data Science Workbench

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
Anonymous | TrustRadius Reviewer

RStudio

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.
Anonymous | TrustRadius Reviewer

Pros

Data Science Workbench

  • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
  • For larger organizations/teams, it lets you be self reliant
  • As it sits on your cluster, it has very easy access of all the data on the HDFS
  • Linking with Github is a very good way to keep the code versions intact
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

RStudio

  • 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.
Chris Beeley | TrustRadius Reviewer

Cons

Data Science Workbench

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Anonymous | TrustRadius Reviewer

RStudio

  • 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.
B. Mark Ewing | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Starting Price

RStudio

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
Optional

Starting Price

Likelihood to Renew

Data Science Workbench

No score
No answers yet
No answers on this topic

RStudio

RStudio 9.4
Based on 17 answers
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.
Anonymous | TrustRadius Reviewer

Usability

Data Science Workbench

No score
No answers yet
No answers on this topic

RStudio

RStudio 10.0
Based on 3 answers
I think it's a quick and easy to use tool. The IDE is very intuitive and easy to adapt to. You do not need to learn a lot of things to use this tool. Any programmer and a person with knowledge or R can quick use this tool without issues.
Anonymous | TrustRadius Reviewer

Reliability and Availability

Data Science Workbench

No score
No answers yet
No answers on this topic

RStudio

RStudio 9.4
Based on 3 answers
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
Kenton Woods | TrustRadius Reviewer

Support Rating

Data Science Workbench

Data Science Workbench 7.7
Based on 3 answers
Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.
Anonymous | TrustRadius Reviewer

RStudio

RStudio 7.9
Based on 16 answers
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.
Xiaotong Song | TrustRadius Reviewer

Implementation Rating

Data Science Workbench

No score
No answers yet
No answers on this topic

RStudio

RStudio 9.1
Based on 4 answers
We did it at the individual level: anyone willing to code in R can use it.No real deployment involved.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Data Science Workbench

Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

RStudio

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.
Anonymous | TrustRadius Reviewer

Scalability

Data Science Workbench

No score
No answers yet
No answers on this topic

RStudio

RStudio 8.1
Based on 3 answers
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.
Chris Beeley | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

RStudio

  • 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).
Flavio Leccese | TrustRadius Reviewer

Screenshots

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