Microsoft R Open / Revolution R Enterprise vs. National Instruments LabVIEW

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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LabView is a great tool to connect your sensors to your data aquisition hardware. It makes it really easy to set-up a data acquisition routine that meets your individual requirements. I, as an engine researcher, find it very well suited for engine experimentation. For any other programming needs, i.e. not data acquisition, I would not recommend using LabView because of its graphical programming architecture. The architecture makes it a great tool for Data Aquisition but puts at a disadvantage when it comes to other computational tasks, e.g. making a thermodynamic engine model. For those applications having text-based programming is better suited

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• 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

• Being a graphical programming language, it is a little easier for a layperson to understand than text based programming languages.
• The program has very good debugging features.
• Support is good.
• There are a variety of tutorials which make it easier to do something that you aren't sure about.

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• 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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• improve the management of pc resources to use the minimum amount of resources
• add a utility for zooming in the block diagram window
• Improve management of complementary applications, such as real time module or dsc

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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.

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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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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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We chose LabVIEW over MATLAB due to the integration with hardware and the graphical programming interface. Also, the ability to use LabVIEW with FPGAs and real-time processors without having to make large changes to the code base or swapping to a separate programming environment was a big benefit since we don't know what hardware will be suitable for each customer application.

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• Helped save company money versus buying other stat software

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• We use NI's data acquisition hardware as well which has made it possible to get whatever experimental data we need to get for our studies.
• LabView has made it possible for us to post-process and tailor the raw data to our specific needs.
• With a responsive customer support team, NI allows us to expand our data acquisition and post-processing capabilities to carry out the kind of research projects that we would want.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info