What users are saying about
7 Ratings
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Score 8.1 out of 100
32 Ratings
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Score 7.8 out of 100

Likelihood to Recommend

AWS Glue

AWS glue is best if your organization is dealing with large and sensitive data like medical record. Its comes with scheduler and easy deployment for AWS user. The data catalog keeps the reference of the data in a well-structured format. If you are already part of the AWS services, then AWS Glue is the best choice; otherwise, it's not a simple one for deployment.
Anonymous | TrustRadius Reviewer

Informatica Data Quality

We used Informatica Data Quality to measure the "Data Quality Score" of internal and external reports at my company. Business users set up data profiling and prepared detailed analysis documents for business analysts. and developers developed Data Quality Mapplets for other IT teams to import their Informatica Power Center repositories. Results are stored in a centralized data quality space and then reported and summarized to related business users in detailed ways.At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.
Gurcan Orhan | TrustRadius Reviewer

Feature Rating Comparison

Data Quality

AWS Glue
Informatica Data Quality
9.3
Data source connectivity
AWS Glue
Informatica Data Quality
10.0
Data profiling
AWS Glue
Informatica Data Quality
9.0
Master data management (MDM) integration
AWS Glue
Informatica Data Quality
10.0
Data element standardization
AWS Glue
Informatica Data Quality
9.0
Match and merge
AWS Glue
Informatica Data Quality
10.0
Address verification
AWS Glue
Informatica Data Quality
8.0

Pros

AWS Glue

  • Very quick for ETL job.
  • UI as well Command Interface with very few steps to create and schedule ETL Job.
Anonymous | TrustRadius Reviewer

Informatica Data Quality

  • The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
  • The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
  • The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
Anonymous | TrustRadius Reviewer

Cons

AWS Glue

  • Sample Code is very basic and not available in most of the scenario.
Anonymous | TrustRadius Reviewer

Informatica Data Quality

  • Several partnerships diminishing the value of technologies
  • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
  • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

AWS Glue

No score
No answers yet
No answers on this topic

Informatica Data Quality

Informatica Data Quality 6.6
Based on 14 answers
As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
Satish Yasumreddy | TrustRadius Reviewer

Support Rating

AWS Glue

AWS Glue 7.0
Based on 1 answer
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.
Anonymous | TrustRadius Reviewer

Informatica Data Quality

No score
No answers yet
No answers on this topic

Alternatives Considered

AWS Glue

We are already in AWS services, so AWS glue is the first choice for us. But for the comparison of ETL job making and process time, it's way faster for other services.
Anonymous | TrustRadius Reviewer

Informatica Data Quality

IDQ is used by a department at my organisation to ensure and enhance the data quality.
The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
Anonymous | TrustRadius Reviewer

Return on Investment

AWS Glue

  • Helps to leverage the data in realtime.
  • Leads to quick and clear business decision making.
Anonymous | TrustRadius Reviewer

Informatica Data Quality

  • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
  • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
  • Employee efficiency is increased exponentially due to more automated, customized tool
Tinu Rajat | TrustRadius Reviewer

Pricing Details

AWS Glue

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

AWS Glue Editions & Modules

Edition
per DPU-Hour$0.441
  1. billed per second, 1 minute minimum
Additional Pricing Details

Informatica Data Quality

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Informatica Data Quality Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

AWS Glue
9.0
Informatica Data Quality
9.0

Likelihood to Renew

AWS Glue
Informatica Data Quality
6.6

Reliability and Availability

AWS Glue
Informatica Data Quality
10.0

Support Rating

AWS Glue
7.0
Informatica Data Quality

Online Training

AWS Glue
Informatica Data Quality
10.0

Implementation Rating

AWS Glue
Informatica Data Quality
10.0

Add comparison