DataRobot vs SAS Enterprise Guide | TrustRadius

What users are saying about

Score 6.5 out of 10

Based on 9 reviews and ratings

Score 8.1 out of 10

Based on 14 reviews and ratings

Pros

The interface is easy to use and self-service, with intuitive design.
The product is easy to use for data analysts and business users without having to be a data scientist, but if you are one the product is robust, so data scientists can also get some use.
All of the screens have explanations of all data points, models, and this makes it easy to provide explanations at the executive level and can easily modify models on the fly.

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Jerry Gage-Anderson

Director of Corp FP&A / Business Intelligence

Globalization PartnersHuman Resources, 51-200 employees

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Ability to load an AutoExec when opening a session ensuring everyone has the same global variables.
Formatting with Ctrl I. If you're reading someone else's code and it's not formatted correctly you can highlight the area and hit Ctrl I.

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Verified User

Analyst in Information Technology

Government Relations Company, 501-1000 employees

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Cons

Oversold the capabilities.
Lack of strong signals in results.
Requires heavy engineering support for integration.

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Shanna Tellerman

CEO (Chief Executive Officer)

ModsyConsumer Services, 51-200 employees

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Process time of data is a bit long. It depends on the size of your data and complexity of your project tree.
There is not enough online free training videos.
While working with the project tree sometimes the links between the modules are broken or the order for running the modules get mixed up. You should know your project tree by heart.

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Verified User

Consultant in Finance and Accounting

Management Consulting Company, 51-200 employees

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Likelihood to Renew

DataRobot 10.0

Based on 1 answer

DataRobot presents a machine-learning platform designed by data scientists from an array of backgrounds, to construct and develop precise predictive modeling in a fraction of the time previously taken. The tech invloved addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. DataRobot utilizes parallel processing to evaluate models in R, Python, Spark MLlib, H2O and other open source databases. It searches for possible permutations and algorithms, features, transformation, processes, steps and tuning to yield the best models for the dataset and predictive goal.

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Verified User

Manager in Quality Assurance

Civil Engineering Company, 51-200 employees

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SAS Enterprise Guide 8.0

Based on 1 answer

On account of current user experience and the organization-wide acceptance.

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Assistant Vice President

HSBC Commercial BankingFinancial Services, 10,001+ employees

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Usability

No score

No answers yet

No answers on this topic

SAS Enterprise Guide 9.0

Based on 1 answer

It is due to the relevance of exhaustive features we use in our department of Credit Risk Analytics & Data modeling, and sharing insights with Group Portfolio Teams

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Assistant Vice President

HSBC Commercial BankingFinancial Services, 10,001+ employees

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Support Rating

DataRobot 5.4

Based on 2 answers

We were unable to make use of the software without a lot of investment on our side. While their team reaches out frequently the software is not designed for companies with smaller data sets and this should have been reviewed before the contract was signed and not after. Their team is available to support your existing team but they cannot make the software work if it's not applied to the right size data set or the right problems. I highly recommend uncovering these issues before signing a contract.

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Shanna Tellerman

CEO (Chief Executive Officer)

ModsyConsumer Services, 51-200 employees

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SAS Enterprise Guide 7.7

Based on 5 answers

Although I use SAS support for information on functions, these are SAS related and haven't really come across anything that is specifically for SAS EG.

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Verified User

Analyst in Information Technology

Government Relations Company, 501-1000 employees

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Implementation Rating

No score

No answers yet

No answers on this topic

SAS Enterprise Guide 7.0

Based on 1 answer

I've not worked hands-on with the implementation team, but there were no escalations barring a few hiccups in the deployment due to change in requirement & adoption to our company's remote servers.

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Assistant Vice President

HSBC Commercial BankingFinancial Services, 10,001+ employees

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Alternatives Considered

No competition, especially with data enablement services offered through DataRobot. The self-service and intuitive screens with explanations can’t be beat in DataRobot.

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Jerry Gage-Anderson

Director of Corp FP&A / Business Intelligence

Globalization PartnersHuman Resources, 51-200 employees

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Why I prefer SAS EG: Data processing speed is much faster than that R Studio. It can load any amount of data and any type of data like structured or unstructured or semi-structured. Its output delivery system by which we have the output in PDF file makes it very comfortable to use and share that file to clients very easily.Inbuilt functions are very powerful and plentiful. Facility of writing macros makes it far away from its competitors.

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Akshaya Bhardwaj

Consultant

WNS Global ServicesOutsourcing/Offshoring, 10,001+ employees

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Return on Investment

DataRobot can run multiple experiments at the same time. This helps to minimize time spent on any given experiment.
DataRobot helps to get rid of bottlenecks by yielding various ways to enact completed models of prediction.
I consider the Return on Investment high. APIs for real-time scoring have saved us many dollars and time.

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Verified User

Manager in Quality Assurance

Civil Engineering Company, 51-200 employees

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Positive (cost): SAS made a bundle that include unlimited usage of SAS/Enterprise Guide with a server solution. That by itself made the company save a lot of money by not having to pay individual licences anymore.
Positive (insight): Data analysts in business units often need to crunch data and they don't have access to ETL tools to do it. Having access to SAS/EG gives them that power.
Positive (time to market): Having the users develop components with SAS/EG allows for easier integration in a production environment (SAS batch job) as no code rework is required.

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Mathieu Gaouette

Consultant BI senior - spécialité SAS

Prospective MG inc.Banking, 10,001+ employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

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Premium Consulting/Integration Services

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Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

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