What users are saying about
20 Ratings
9 Ratings
20 Ratings
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Score 8.4 out of 100
9 Ratings
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Score 8 out of 100

Attribute Ratings

  • SAS DataFlux is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

8.8

AWS Glue

88%
5 Ratings
9.0

SAS DataFlux

90%
1 Rating

Likelihood to Renew

AWS Glue

N/A
0 Ratings
10.0

SAS DataFlux

100%
1 Rating

Support Rating

7.0

AWS Glue

70%
2 Ratings

SAS DataFlux

N/A
0 Ratings

Likelihood to Recommend

Amazon AWS

One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
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SAS

No answers on this topic

Pros

Amazon AWS

  • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
  • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
  • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
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SAS

  • dfPower Studio connects to virtually any data source, and any dfPower Studio user in any department can use dfPower Studio to profile, cleanse, integrate, enrich, monitor, and otherwise improve data quality throughout the enterprise. dfPower Architect, an innovative job flow builder, enables users to build complex management workflows quickly and logically.
  • DataFlux Integration Server supports the ability to run batch dfPower Studio jobs in a client/server environment.
  • DataFlux Integration Server for SAS additionally enables allows SAS programs to invoke DataFlux batch jobs from a SAS program and allows SAS programs to call a business service that was designed in the dfPower Studio client environment.
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Cons

Amazon AWS

  • In-Stream schema registries feature people can not use this more efficiently
  • in Connections feature they can add more connectors as well
  • The crucial problem with AWS Glue is that it only works with AWS.
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SAS

  • DataFlux handled all of our data integration needs. It could be considered pricey when compared to Microsoft's bundled SSIS product.
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Pricing Details

AWS Glue

Starting Price

$0.44 billed per second, 1 minute minimum

Editions & Modules

AWS Glue editions and modules pricing
EditionModules
per DPU-Hour$0.441

Footnotes

  1. billed per second, 1 minute minimum

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

SAS DataFlux

Starting Price

Editions & Modules

SAS DataFlux editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Likelihood to Renew

    Amazon AWS

    No answers on this topic

    SAS

    We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
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    Support Rating

    Amazon AWS

    Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
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    SAS

    No answers on this topic

    Alternatives Considered

    Amazon AWS

    AWS Glue is a managed service. It was easier for us to integrate it into our stack since we are already an AWS shop. It saved us the headache of managing a 3rd part service.
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    SAS

    No answers on this topic

    Return on Investment

    Amazon AWS

    • It is costly.
    • Implementation is time consuming.
    • Data creation transformation is smooth.
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    SAS

    • Complex data integration.
    • SAS integration.
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    Add comparison