What users are saying about
9 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8 out of 100
Based on 9 reviews and ratings
41 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.4 out of 100
Based on 41 reviews and ratings
Feature Set Ratings
Data Quality
SAS DataFlux
Feature Set Not Supported
N/A

9.0
Informatica Data Quality
90%
Informatica Data Quality ranks higher in 6/6 features
Informatica Data Quality ranks higher in 6/6 features
Data source connectivity
N/A
0 Ratings

9.4
94%
6 Ratings
Data profiling
N/A
0 Ratings

9.2
92%
6 Ratings
Master data management (MDM) integration
N/A
0 Ratings

9.0
90%
6 Ratings
Data element standardization
N/A
0 Ratings

8.2
82%
6 Ratings
Match and merge
N/A
0 Ratings

8.8
88%
6 Ratings
Address verification
N/A
0 Ratings

9.2
92%
6 Ratings
Attribute Ratings
- SAS DataFlux is rated higher in 1 area: Likelihood to Renew
- Informatica Data Quality is rated higher in 1 area: Likelihood to Recommend
Likelihood to Recommend
9.0
SAS DataFlux
90%
1 Rating

9.4
Informatica Data Quality
94%
20 Ratings
Likelihood to Renew
10.0
SAS DataFlux
100%
1 Rating

6.6
Informatica Data Quality
66%
14 Ratings
Usability
SAS DataFlux
N/A
0 Ratings

8.0
Informatica Data Quality
80%
1 Rating
Availability
SAS DataFlux
N/A
0 Ratings

9.0
Informatica Data Quality
90%
3 Ratings
Performance
SAS DataFlux
N/A
0 Ratings

9.0
Informatica Data Quality
90%
1 Rating
Online Training
SAS DataFlux
N/A
0 Ratings

10.0
Informatica Data Quality
100%
1 Rating
Implementation Rating
SAS DataFlux
N/A
0 Ratings

10.0
Informatica Data Quality
100%
2 Ratings
Product Scalability
SAS DataFlux
N/A
0 Ratings

9.0
Informatica Data Quality
90%
1 Rating
Likelihood to Recommend
SAS DataFlux
No answer on this topic is available.
Informatica Data Quality
Helps to increase productivity, optimize costs, and democratize data across multiple cloud environments with cloud ETL and ELT. Capacity to integrate data sources at scale and with ease. Has cloud data integration capabilities that cover diverse sets of patterns, use cases, and users ensuring we have well-architected and seamless automated data pipelines.
Project Manager
C.H. RobinsonLogistics & Supply Chain, 201-500 employees
Pros
SAS DataFlux
- 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.
Director of Business Intelligence & Analytics
Georgetown UniversityInformation Technology and Services, 1001-5000 employees
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.

Verified User
Analyst in Other
Education Management Company, 10,001+ employeesCons
SAS DataFlux
- DataFlux handled all of our data integration needs. It could be considered pricey when compared to Microsoft's bundled SSIS product.
Director of Business Intelligence & Analytics
Georgetown UniversityInformation Technology and Services, 1001-5000 employees
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.

Verified User
Professional in Information Technology
Utilities Company, 10,001+ employeesPricing Details
SAS DataFlux
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—Informatica Data Quality
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—Likelihood to Renew
SAS DataFlux
SAS DataFlux 10.0
Based on 1 answer
We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
Director of Business Intelligence & Analytics
Georgetown UniversityInformation Technology and Services, 1001-5000 employees
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.
Etl Lead
WellPointInsurance, 10,001+ employees
Usability
SAS DataFlux
No score
No answers yet
No answers on this topic
Informatica Data Quality
Informatica Data Quality 8.0
Based on 1 answer
Easy to use not only for developers but also business users

Verified User
Manager in Information Technology
Hospitality Company, 5001-10,000 employeesReliability and Availability
SAS DataFlux
No score
No answers yet
No answers on this topic
Informatica Data Quality
Informatica Data Quality 9.0
Based on 3 answers
The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server

Verified User
Manager in Information Technology
Hospitality Company, 5001-10,000 employeesPerformance
SAS DataFlux
No score
No answers yet
No answers on this topic
Informatica Data Quality
Informatica Data Quality 9.0
Based on 1 answer
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.

Verified User
Manager in Information Technology
Hospitality Company, 5001-10,000 employeesAlternatives Considered
SAS DataFlux
No answers on this topic
Informatica Data Quality
Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.
Information Technology Consultant
FCCI Insurance GroupInsurance, 1001-5000 employees
Scalability
SAS DataFlux
No score
No answers yet
No answers on this topic
Informatica Data Quality
Informatica Data Quality 9.0
Based on 1 answer
Scalability works as expected and it is truly an enterprise system.

Verified User
Manager in Information Technology
Hospitality Company, 5001-10,000 employeesReturn on Investment
SAS DataFlux
- Complex data integration.
- SAS integration.
Director of Business Intelligence & Analytics
Georgetown UniversityInformation Technology and Services, 1001-5000 employees
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
Informatica Consultant
GSKPharmaceuticals, 10,001+ employees