Microsoft R Open / Revolution R Enterprise vs. Oracle Enterprise Data Quality

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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When it comes to cleaning large data, for instance customer data, Oracle Enterprise Data Quality comes in handy and offers best features that makes it easy to clean data and visualize any flows

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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

• Ease of management within Oracle Data Integrator (ODI) and effectivity of EDQ Director
• Ease of installation with web based client.
• Data Quality issues solved quickly, easily and jobs are controlled within Oracle Data Integrator (ODI) seamlessly.
• Setup is straightforward. Java web application (OEDQ Director) helped us for not installing any client application.

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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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• Oracle Data Quality requires a mobile version, which would apprehend many users.
• Oracle Data Quality has an inflexible UI, which should be more enhanced.
• Oracle Data Quality fails to revise prices, which are candid solutions in controlling the number of subscribers.

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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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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

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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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

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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I know of TDQ. We looked at the feature of TDQ and decided due to the license cost that we would use EDQ

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• Helped save company money versus buying other stat software

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• OEDQ reduces a lot of the manual work to review bad addresses.
• OEDQ helps to validate similar records and make it easier to keep customer loyalty.

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Invited by TrustRadius (TR) on Vendor's Behalf

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. TR verified that a representative sample of customers was invited. More Info