Microsoft R Open / Revolution R Enterprise vs. SQL Server Integration Services

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
SSIS
Score 8.4 out of 10
N/A
Microsoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
Pricing
Microsoft R Open / Revolution R EnterpriseSQL Server Integration Services
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft R Open / Revolution R EnterpriseSSIS
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Microsoft R Open / Revolution R EnterpriseSQL Server Integration Services
Top Pros
Top Cons
Features
Microsoft R Open / Revolution R EnterpriseSQL Server Integration Services
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
5.3
3 Ratings
46% below category average
SQL Server Integration Services
-
Ratings
Connect to Multiple Data Sources6.13 Ratings00 Ratings
Extend Existing Data Sources6.03 Ratings00 Ratings
Automatic Data Format Detection6.03 Ratings00 Ratings
MDM Integration3.01 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
7.0
3 Ratings
19% below category average
SQL Server Integration Services
-
Ratings
Visualization7.03 Ratings00 Ratings
Interactive Data Analysis7.03 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
4.8
3 Ratings
53% below category average
SQL Server Integration Services
-
Ratings
Interactive Data Cleaning and Enrichment5.13 Ratings00 Ratings
Data Transformations5.03 Ratings00 Ratings
Data Encryption3.01 Ratings00 Ratings
Built-in Processors6.03 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
6.0
3 Ratings
34% below category average
SQL Server Integration Services
-
Ratings
Multiple Model Development Languages and Tools5.03 Ratings00 Ratings
Automated Machine Learning5.02 Ratings00 Ratings
Single platform for multiple model development8.03 Ratings00 Ratings
Self-Service Model Delivery6.03 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
6.5
2 Ratings
28% below category average
SQL Server Integration Services
-
Ratings
Flexible Model Publishing Options6.02 Ratings00 Ratings
Security, Governance, and Cost Controls6.92 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
-
Ratings
SQL Server Integration Services
7.5
53 Ratings
10% below category average
Connect to traditional data sources00 Ratings8.853 Ratings
Connecto to Big Data and NoSQL00 Ratings6.240 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
-
Ratings
SQL Server Integration Services
8.1
53 Ratings
3% below category average
Simple transformations00 Ratings8.553 Ratings
Complex transformations00 Ratings7.752 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
-
Ratings
SQL Server Integration Services
7.4
51 Ratings
9% below category average
Data model creation00 Ratings8.627 Ratings
Metadata management00 Ratings7.133 Ratings
Business rules and workflow00 Ratings8.142 Ratings
Collaboration00 Ratings7.338 Ratings
Testing and debugging00 Ratings6.148 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
-
Ratings
SQL Server Integration Services
6.9
41 Ratings
17% below category average
Integration with data quality tools00 Ratings7.436 Ratings
Integration with MDM tools00 Ratings6.536 Ratings
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Microsoft R Open / Revolution R EnterpriseSQL Server Integration Services
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User Ratings
Microsoft R Open / Revolution R EnterpriseSQL Server Integration Services
Likelihood to Recommend
6.0
(5 ratings)
8.0
(53 ratings)
Likelihood to Renew
7.0
(1 ratings)
10.0
(3 ratings)
Usability
7.0
(1 ratings)
9.3
(8 ratings)
Performance
-
(0 ratings)
8.8
(6 ratings)
Support Rating
8.0
(2 ratings)
8.2
(7 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Microsoft R Open / Revolution R EnterpriseSQL Server Integration Services
Likelihood to Recommend
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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Microsoft
Ideal for daily standard ETL use cases whether the data is sourced from / transferred to the native connectors (like SQL Server) or FTP. Best if the company uses MS suite of tools. There are better options in the market for chaining tasks where you want a custom flow of executions depending on the outcome of each process or if you want advanced functionality like API connections, etc.
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Pros
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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Microsoft
  • Ease of use - can be used with no prior experience in a relatively short amount of time.
  • Flexibility - provides multiple means of accomplishing tasks to be able to support virtually any scenario.
  • Performance - performs well with default configurations but allows the user to choose a multitude of options that can enhance performance.
  • Resilient - supports the configuration of error handling to prevent and identify breakages.
  • Complete suite of configurable tools.
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Cons
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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Microsoft
  • SSIS has been a bit neglected by Microsoft and new features are slow in coming.
  • When importing data from flat files and Excel workbooks, changes in the data structure will cause the extracts to fail. Workarounds do exist but are not easily implemented. If your source data structure does not change or rarely changes, this negative is relatively insignificant.
  • While add-on third-party SSIS tools exist, there are only a small number of vendors actively supporting SSIS and license fees for production server use can be significant especially in highly-scaled environments.
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Likelihood to Renew
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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Microsoft
Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure
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Usability
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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Microsoft
SQL Server Integration Services is a relatively nice tool but is simply not the ETL for a global, large-scale organization. With developing requirements such as NoSQL data, cloud-based tools, and extraordinarily large databases, SSIS is no longer our tool of choice.
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Performance
Microsoft
No answers on this topic
Microsoft
Raw performance is great. At times, depending on the machine you are using for development, the IDE can have issues. Deploying projects is very easy and the tool set they give you to monitor jobs out of the box is decent. If you do very much with it you will have to write into your projects performance tracking though.
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Support Rating
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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Microsoft
The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
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Implementation Rating
Microsoft
No answers on this topic
Microsoft
The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
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Alternatives Considered
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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Microsoft
I had nothing to do with the choice or install. I assume it was made because it's easy to integrate with our SQL Server environment and free. I'm not sure of any other enterprise level solution that would solve this problem, but I would likely have approached it with traditional scripting. Comparably free, but my own familiarity with trad scripts would be my final deciding factor. Perhaps with some further training on SSIS I would have a different answer.
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Return on Investment
Microsoft
  • Helped save company money versus buying other stat software
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Microsoft
  • Data integrity across various products allows unify certain processes inside the organization and save funds by reducing human labour factor.
  • Automated data unification allows us plan our inputs better and reduce over-warehousing by overbuying
  • The employee number, responsible for data management was reduced from 4 to 1 person
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ScreenShots