Domino Enterprise MLOps Platform vs. Microsoft R Open / Revolution R Enterprise

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Domino Enterprise MLOps Platform
Score 8.0 out of 10
Enterprise companies (1,001+ employees)
The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale. Domino is presented as open and flexible, to empower professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Domino Enterprise MLOps…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
Domino Enterprise MLOps PlatformMicrosoft R Open / Revolution R Enterprise
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Domino Enterprise MLOps PlatformMicrosoft R Open / Revolution R Enterprise
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Domino Enterprise MLOps PlatformMicrosoft R Open / Revolution R Enterprise
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Domino Enterprise MLOps PlatformMicrosoft R Open / Revolution R Enterprise
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
Microsoft R Open / Revolution R Enterprise
5.3
3 Ratings
46% below category average
Connect to Multiple Data Sources00 Ratings6.13 Ratings
Extend Existing Data Sources00 Ratings6.03 Ratings
Automatic Data Format Detection00 Ratings6.03 Ratings
MDM Integration00 Ratings3.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
Microsoft R Open / Revolution R Enterprise
7.0
3 Ratings
19% below category average
Visualization00 Ratings7.03 Ratings
Interactive Data Analysis00 Ratings7.03 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
Microsoft R Open / Revolution R Enterprise
4.8
3 Ratings
53% below category average
Interactive Data Cleaning and Enrichment00 Ratings5.13 Ratings
Data Transformations00 Ratings5.03 Ratings
Data Encryption00 Ratings3.01 Ratings
Built-in Processors00 Ratings6.03 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
Microsoft R Open / Revolution R Enterprise
6.0
3 Ratings
34% below category average
Multiple Model Development Languages and Tools00 Ratings5.03 Ratings
Automated Machine Learning00 Ratings5.02 Ratings
Single platform for multiple model development00 Ratings8.03 Ratings
Self-Service Model Delivery00 Ratings6.03 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Domino Enterprise MLOps Platform
-
Ratings
Microsoft R Open / Revolution R Enterprise
6.5
2 Ratings
28% below category average
Flexible Model Publishing Options00 Ratings6.02 Ratings
Security, Governance, and Cost Controls00 Ratings6.92 Ratings
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Domino Enterprise MLOps PlatformMicrosoft R Open / Revolution R Enterprise
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User Ratings
Domino Enterprise MLOps PlatformMicrosoft R Open / Revolution R Enterprise
Likelihood to Recommend
-
(0 ratings)
6.0
(5 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(1 ratings)
Usability
-
(0 ratings)
7.0
(1 ratings)
Support Rating
-
(0 ratings)
8.0
(2 ratings)
User Testimonials
Domino Enterprise MLOps PlatformMicrosoft R Open / Revolution R Enterprise
Likelihood to Recommend
Domino Data Lab
No answers on this topic
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
Domino Data Lab
No answers on this topic
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
Read full review
Cons
Domino Data Lab
No answers on this topic
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.
Read full review
Likelihood to Renew
Domino Data Lab
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
Domino Data Lab
No answers on this topic
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
Domino Data Lab
No answers on this topic
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
Domino Data Lab
No answers on this topic
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
Domino Data Lab
No answers on this topic
Microsoft
  • Helped save company money versus buying other stat software
Read full review
ScreenShots

Domino Enterprise MLOps Platform Screenshots

Screenshot of The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality and impact of data science at scale.Screenshot of The Self-Service Infrastructure Portal makes data science teams more productive with access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming DevOps tasks, data scientists can focus on the tasks at hand.Screenshot of The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle.Screenshot of The System of Record has a reproducibility engine, search and knowledge management, and integrated project management. Teams can find, reuse, reproduce, and build on any data science work to amplify innovation.Screenshot of Model monitoring capabilities ensure that all production models maintain peak performance. Automated alerts provide notification when data and quality drift occurs so users can re-train, rebuild, and re-publish the model.Screenshot of Nexus is a single pane of glass to run data science and ML workloads across any compute cluster — in any cloud, region, or on-premises. It unifies data science silos across the enterprise, providing one place to build, deploy, and monitor models.