20 Ratings
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Score 8.4 out of 100
2 Ratings
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Score 7.3 out of 100

Attribute Ratings

  • AWS Glue is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

8.8

AWS Glue

88%
5 Ratings
8.0

Informatica Enterprise Data Preparation

80%
1 Rating

Support Rating

7.0

AWS Glue

70%
2 Ratings

Informatica Enterprise Data Preparation

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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Informatica

I am working in a medical device company and we require a large amount of data to analyze. Handling large amounts of data using this tool is very easy and the user interface is easy and simple to navigate. Earlier we used to use excel and text files to extract the data but now using this tool we have improved in transforming the data.
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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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Informatica

  • Improve the business process outcomes
  • Create internal/external operational efficiencies
  • Product functionality and performance
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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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Informatica

  • Dependency with other systems like Hadoop as it's data repository.
  • Service slow connection sometimes.
  • Configuration should be easy.
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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

Informatica Enterprise Data Preparation

Starting Price

Editions & Modules

Informatica Enterprise Data Preparation 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

    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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    Informatica

    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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    Informatica

    To improve the business process outcomes we have purchased this tool. By using this tool data preparation is easy and much [more] flexible and I would suggest [it as] a good option to try. As it is built with powerful AI and supports as large datasets as we can get without any reduction in performance.
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    Return on Investment

    Amazon AWS

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

    • Dependency on hadoop cluster as its repository
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    Add comparison