Azure Batch is cloud-scale job scheduling and compute management.
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Microsoft R Open / Revolution R Enterprise
Score 8.9 out of 10
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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.
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Pricing
Azure Batch
Microsoft R Open / Revolution R Enterprise
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Batch
Microsoft R Open / Revolution R Enterprise
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Batch
Microsoft R Open / Revolution R Enterprise
Features
Azure Batch
Microsoft R Open / Revolution R Enterprise
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Batch
-
Ratings
Microsoft R Open / Revolution R Enterprise
5.3
3 Ratings
45% below category average
Connect to Multiple Data Sources
00 Ratings
6.13 Ratings
Extend Existing Data Sources
00 Ratings
6.03 Ratings
Automatic Data Format Detection
00 Ratings
6.03 Ratings
MDM Integration
00 Ratings
3.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Batch
-
Ratings
Microsoft R Open / Revolution R Enterprise
7.0
3 Ratings
19% below category average
Visualization
00 Ratings
7.03 Ratings
Interactive Data Analysis
00 Ratings
7.03 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Batch
-
Ratings
Microsoft R Open / Revolution R Enterprise
4.8
3 Ratings
52% below category average
Interactive Data Cleaning and Enrichment
00 Ratings
5.13 Ratings
Data Transformations
00 Ratings
5.03 Ratings
Data Encryption
00 Ratings
3.01 Ratings
Built-in Processors
00 Ratings
6.03 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Batch
-
Ratings
Microsoft R Open / Revolution R Enterprise
6.0
3 Ratings
33% below category average
Multiple Model Development Languages and Tools
00 Ratings
5.03 Ratings
Automated Machine Learning
00 Ratings
5.02 Ratings
Single platform for multiple model development
00 Ratings
8.03 Ratings
Self-Service Model Delivery
00 Ratings
6.03 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
To better serve their consumers, businesses that often interact with those clients who rely on Microsoft's software products may consider migrating to Azure. This program would be useful in any installation of a Microsoft product or suite that necessitates a test of the target environment. It is simple to maintain and implement, making it an ideal IT backbone. If a client doesn't have any use for this particular instrument, it's not going to be of any benefit to them.
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.
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.
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.
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.
They both are great tools and provide the services they have implemented. They are two competing companies that have different cultures and forward mission agendas. I would say Azure is a little easier to support through their user interface for the IT support side of things. Both tools are useful and have their own strength and weakness. If you're a dynamic company with a multitude of customers then both are a required tool to have.
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.