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Informatica Cloud Data Quality vs SAS Data Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
4.6
Informatica Cloud Data Quality provides trusted data and ROI, but takes two years to realize value unlike Collibra Catalog.
Sentiment score
6.5
SAS Data Management improves data accuracy and reliability, aiding cost efficiency and reporting, crucial in the pharmaceutical industry.
The stability and performance remain issues.
Compared to Collibra Catalog, where the value is noticeable within six months.
 

Customer Service

Sentiment score
5.7
Informatica Cloud Data Quality excels in customer support despite initial learning curves and occasional response delays, receiving exceptional ratings.
Sentiment score
7.1
SAS Data Management customer service is generally reliable but mixed, with efficient technical support and room for improvement.
Even after going out of service support, they still reached back to me whenever I raised tickets.
The support is not very good; each ticket starts from scratch as there is no continuity between personnel handling the same ticket.
I would evaluate Informatica's technical support as good.
 

Scalability Issues

Sentiment score
6.8
Informatica Cloud Data Quality is scalable and efficient, handling large datasets seamlessly in cloud with varying user ratings.
Sentiment score
7.3
SAS Data Management is scalable, supporting enterprises globally with adaptable performance, seamless integration, and efficient complex data handling.
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
 

Stability Issues

Sentiment score
6.4
Informatica Cloud Data Quality is generally stable, though the on-premise version is more reliable, facing fewer update issues.
Sentiment score
7.6
SAS Data Management is reliable and efficient, with server stability on Linux, but Windows client may require restarts.
There are substantial stability issues with Informatica Cloud Data Quality on the cloud.
I find the stability to be good, with occasional restarts required every two to three months due to glitches.
 

Room For Improvement

Informatica Cloud Data Quality needs improvements in spatial data handling, connectivity, user interface, configuration, stability, and support access.
SAS Data Management requires improved cost efficiency, flexibility, user interface, cloud capabilities, integration, accessibility, and training resources.
This creates a significant cost and time burden, especially since we followed a strict software development life cycle process, which made creating each rule time-consuming and expensive.
It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
 

Setup Cost

Informatica Cloud Data Quality is costly with inflexible pricing, lacking a pay-as-you-go model and incurring high licensing fees.
SAS Data Management is expensive but provides high value, with more affordable solutions integrating multiple functions for data management.
The pricing for Informatica Cloud Data Quality is super expensive.
From my experience, SAS Data Management is an expensive tool.
 

Valuable Features

Informatica Cloud Data Quality provides seamless integration, robust management, AI-driven accuracy, and real-time monitoring for enhanced data quality.
SAS Data Management provides seamless integration, quality, and governance with a user-friendly interface and robust transformation capabilities.
Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important.
We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.
The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
 

Categories and Ranking

Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.0
Reviews Sentiment
5.9
Number of Reviews
17
Ranking in other categories
No ranking in other categories
SAS Data Management
Ranking in Data Quality
11th
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
17
Ranking in other categories
Data Integration (30th), Data Governance (25th)
 

Mindshare comparison

As of August 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 6.6%, down from 9.0% compared to the previous year. The mindshare of SAS Data Management is 3.0%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Mehmet SukruKaya - PeerSpot reviewer
Improved data quality significantly enhances project efficiency and effectiveness
I am not utilizing the data quality rules management part yet. We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.
Vivek Trivedi - PeerSpot reviewer
Has robust data governance capabilities and efficient financial alerting features
The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
11%
Manufacturing Company
11%
Healthcare Company
7%
Financial Services Firm
28%
Computer Software Company
9%
Insurance Company
9%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
What needs improvement with Informatica Cloud Data Quality?
I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality ...
What is your primary use case for Informatica Cloud Data Quality?
I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks. I haven't used any other tools, so I can...
What is your experience regarding pricing and costs for SAS Data Management?
From my experience, SAS Data Management is an expensive tool.
What needs improvement with SAS Data Management?
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
What is your primary use case for SAS Data Management?
Some clients and I are using SAS Data Management for data cleansing, data warehousing, and IoT-related activities such as streaming data.
 

Also Known As

Cloud Data Quality Radar
SAS Data Management Platform, Data Management Platform, DataFlux
 

Overview

 

Sample Customers

Freddie Mac, Rabobank
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Informatica Cloud Data Quality vs. SAS Data Management and other solutions. Updated: July 2025.
865,484 professionals have used our research since 2012.