Dataiku vs. Microsoft R Open / Revolution R Enterprise

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 8.6 out of 10
N/A
Dataiku is a French startup and its product, DSS, is a challenger to market incumbents and features some visual tools to assist in building workflows.N/A
Microsoft R Open / Revolution R Enterprise
Score 8.9 out of 10
N/A
Microsoft R Open and Revolution R Enterprise are big data R distribution for servers, Hadoop clusters, and data warehouses. Microsoft acquired original developer Revolution Analytics in 2016. Microsoft R is available in two editions: Microsoft R Open (formerly Revolution R Open) and Revolution R Enterprise.N/A
Pricing
DataikuMicrosoft R Open / Revolution R Enterprise
Editions & Modules
Discover
Contact sales team
Business
Contact sales team
Enterprise
Contact sales team
No answers on this topic
Offerings
Pricing Offerings
DataikuMicrosoft R Open / Revolution R Enterprise
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataikuMicrosoft R Open / Revolution R Enterprise
Top Pros
Top Cons
Features
DataikuMicrosoft R Open / Revolution R Enterprise
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
4 Ratings
7% above category average
Microsoft R Open / Revolution R Enterprise
5.3
3 Ratings
46% below category average
Connect to Multiple Data Sources10.04 Ratings6.13 Ratings
Extend Existing Data Sources10.04 Ratings6.03 Ratings
Automatic Data Format Detection10.04 Ratings6.03 Ratings
MDM Integration6.52 Ratings3.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
4 Ratings
17% above category average
Microsoft R Open / Revolution R Enterprise
7.0
3 Ratings
19% below category average
Visualization9.94 Ratings7.03 Ratings
Interactive Data Analysis10.04 Ratings7.03 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
10.0
4 Ratings
19% above category average
Microsoft R Open / Revolution R Enterprise
4.8
3 Ratings
53% below category average
Interactive Data Cleaning and Enrichment10.04 Ratings5.13 Ratings
Data Transformations10.04 Ratings5.03 Ratings
Data Encryption10.04 Ratings3.01 Ratings
Built-in Processors10.04 Ratings6.03 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.7
4 Ratings
2% above category average
Microsoft R Open / Revolution R Enterprise
6.0
3 Ratings
34% below category average
Multiple Model Development Languages and Tools5.14 Ratings5.03 Ratings
Automated Machine Learning10.04 Ratings5.02 Ratings
Single platform for multiple model development10.04 Ratings8.03 Ratings
Self-Service Model Delivery10.04 Ratings6.03 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
9.0
4 Ratings
5% above category average
Microsoft R Open / Revolution R Enterprise
6.5
2 Ratings
28% below category average
Flexible Model Publishing Options9.04 Ratings6.02 Ratings
Security, Governance, and Cost Controls9.04 Ratings6.92 Ratings
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DataikuMicrosoft R Open / Revolution R Enterprise
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Score 8.2 out of 10
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User Ratings
DataikuMicrosoft R Open / Revolution R Enterprise
Likelihood to Recommend
10.0
(4 ratings)
6.0
(5 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(1 ratings)
Usability
10.0
(1 ratings)
7.0
(1 ratings)
Support Rating
9.4
(3 ratings)
8.0
(2 ratings)
User Testimonials
DataikuMicrosoft R Open / Revolution R Enterprise
Likelihood to Recommend
Dataiku
Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
Read full review
Microsoft
If you are a MS shop specifically, or have more generic data requirement needs from Microsoft sourced data this will work well. If you have a lot of disparate data across a number of unique platforms/cloud systems/3rd party hosted data warehouses then this product will have issues or a lack of documentation on the net. Performance-wise this product is equal to other R platforms out there.
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Pros
Dataiku
  • The intuitiveness of this tool is very good.
  • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
  • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
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Microsoft
  • It allows distributed algorithm runs on Hadoop HDFS cluster
  • It allows using different file formats such as SAS7BAT files or complex files in tab or comma delimited making data munging easier
  • It provides scalable solutions by allowing users to re-use R scripts and distributing the computing over nodes through RHadoop
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Cons
Dataiku
  • End product deployment.
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Microsoft
  • Very steep learning curve... for such a quick and useful tool the learning curve is unacceptable.
  • Very dangerous in the wrong hands. Because most add-ons are pre-written, you have to trust the community that malicious script is not used.
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Likelihood to Renew
Dataiku
No answers on this topic
Microsoft
In general, Revolution Analytics brings a lot of value to the organization. The renewal decision would be based on return on investment in terms of quantified actionable insights that are getting generated against the cost of the product. Additionally, market brand of the tool and reputation risk in terms of possible acquisition and its impact to overall organizational analytic strategy would be considered as well.
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Usability
Dataiku
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
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Microsoft
It is good, easy to use, improvements are being made to the product and more info being shared in the community. It just needs some more time to become more integrated to other platforms and tools/data out there.
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Support Rating
Dataiku
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
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Microsoft
Generally support comes through the forums and user generated channels which are helpful, easy to access, quickly turned around and provided by knowledgeable users. However the support channels are not employees and the channels are often used as a way to learn quick difficult elements of R. Better design, users interface and tutorial options would alleviate the need for this sort of interaction.
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Alternatives Considered
Dataiku
Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
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Microsoft
The two are different products for different purposes. But for someone who has little or no experience in R programming, Power BI would be better for starting with. Having said that, Microsoft R is built on R, thus allowing for customization of complex calculations not typically available otherwise.
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Return on Investment
Dataiku
  • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
  • Platform also ease tracking of data processing workflow, unlike Excel.
  • Build-in data visualizations covers many use cases with minimal customization; time saver.
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Microsoft
  • Helped save company money versus buying other stat software
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ScreenShots