Informatica Data Quality vs SAS Data Management comparison

Informatica and SAS are both solutions in the Data Quality category. Informatica is ranked #25 with an average rating of 8.5, while SAS is ranked #6 with an average rating of 10.0. Additionally, 100% of Informatica users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

Informatica Data Quality

Read 2 Informatica Data Quality reviews

541 Views
5 Comparison Views

100% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

4,656 Views
1,117 Comparison Views

88% willing to recommend

Informatica Data Quality

SAS Data Management

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Informatica Data Quality and SAS Data Management based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Qlik, SAP and others in Data Quality.

To learn more, read our detailed Data Quality Report (Updated: June 2026).

Buyer's Guide

Data Quality

June 2026

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Helped 902,988 peers since 2012

Review summaries and opinions

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

Categories and Ranking

Informatica Data Quality

Ranking in Data Quality

25th

Average Rating

8.6

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Data Management

Ranking in Data Quality

6th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (27th), Data Governance (24th)

Featured Reviews

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

Data quality checks have reduced manual monitoring but still face cost and performance issues

Some of the best features Informatica Data Quality offers include AI automation using CLAIRE, which integrates AI with Informatica Data Quality, and its user-friendly drag-and-drop interface. All of this is simply usable to any person who has minimal knowledge of ETL. Rather than querying every table to check for any duplicate entries or null values, it is impossible to query for each site. Once we integrate it with Informatica Data Quality and use the drag-and-drop function to specify the conditions we need and connect to the databases, it directly checks if the values are within the threshold or if we can set conditions, such as not entering records with null values. It also features a match and merge condition, from which data profiling and data cleansing can be done.

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Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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Quotes from Members

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

Pros

"About Informatica Data Quality, I do not think that I have any questions because the product is very good."

"Since we integrated Informatica Data Quality in our project, the amount of human interaction has reduced, so the team has decreased, resulting in cost savings for our project and improved time by automating checks for missing or null values."

"The ROI can be very high in terms of improving the reliability and accuracy of data used in forecasting and marketing models (ex: customer data, sales data)."

"This is an established product with powerful data analysis and varied options for user entry points."

"The product offers very good flexibility."

"The interface of the solution is great, you don't need to be an experienced analytics person to work with the product, and even new users can do all sorts of modeling on the data."

"Reliable data plus less human intervention and less error have made a significant difference."

"The tool is reliable, quick, and powerful."

"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."

"I think the product is very stable, I think it's a marvelous product, it is very widely used by many people and I never hear people complain."

More SAS Data Management pros

Cons

"The scalability is not up to mark in my view because even a small increase in data, like the number of rows, can cause the server to crash, requiring a reboot."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"Customer Service: When DataFlux was a standalone company, the customer service deserved an A+ rating. Now that it is a wholly owned subsidiary of SAS, and just one piece of a giant software conglomerate, I would give them a C+."

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

"The stability could be a bit better. It's lacking in this area right now."

"There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage."

"For the amount of features that we use, the licensing is expensive."

"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."

"I would like the tool to include the ability to automate the modifications of the integrations."

More SAS Data Management cons

Pricing and Cost Advice

Information not available

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The solution is expensive."

"The licensing model for vCenter is a perpetual license with yearly payments."

"The tool is a bit expensive."

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902,988 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

17%

Comms Service Provider

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

What is your experience regarding pricing and costs for Informatica Data Quality?

I have been informed by our management team that the pricing is high, but I am not sure about the specific figures regarding what the pricing is.

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What needs improvement with Informatica Data Quality?

One thing is that, compared to the features provided by Informatica Data Quality, when compared to other tools offering similar features, it is somewhat costly. The scalability is not up to mark co...

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What is your primary use case for Informatica Data Quality?

We are using Informatica PowerCenter for ETL, and simultaneously we are using Informatica Data Quality for data profiling, validation, to remove duplicate entries, and for data cleansing. Ours is a...

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What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

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What needs improvement with SAS Data Management?

SAS Data Management can be improved in terms of the learning curve.

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What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

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Comparisons

No data available

Informatica PowerCenter vs SAS Data Management

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 8% of the time

WhereScape RED vs SAS Data Management

Compared 8% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 4% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

Data Quality

June 2026

Download Informatica Data Quality product report

Buyer's Guide

SAS Data Management

June 2026

Download SAS Data Management product report

Also Known As

No data available

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

Informatica Data Quality offers a comprehensive data management tool designed to ensure data accuracy and integrity across diverse systems, enabling businesses to enhance decision-making and operational efficiency.

Informatica Data Quality provides advanced capabilities for data cleansing, profiling, and matching while supporting integration with enterprise applications. It delivers tools to monitor data quality, facilitating informed decision-making and effective governance. It caters to enterprises seeking to improve the accuracy and reliability of their information systems, allowing for better alignment with compliance and strategic goals.

What are the most important features of Informatica Data Quality?

Data Profiling: Provides insights into data completeness and conformity.
Data Cleansing: Helps correct and standardize data for enhanced accuracy.
Data Matching: Identifies and merges duplicate records efficiently.
Real-Time Monitoring: Offers continuous data quality assessment across systems.
Integration Support: Seamless integration with enterprise applications and databases.

What benefits or ROI should users look for?

Improved Decision-Making: Access to clean, accurate data supports better business decisions.
Regulatory Compliance: Ensures data meets required standards and regulations.
Operational Efficiency: Streamlines processes by reducing data entry errors and duplications.
Cost Savings: Reduces expenses associated with data errors and mismanagement.

In finance, Informatica Data Quality enables precise transactions, reducing risks associated with inaccurate data. In healthcare, it plays a critical role in patient information management, ensuring compliance and accuracy. Retail businesses use it to enhance customer data quality, improving marketing strategies and sales initiatives.

Informatica

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

SAS

Sample Customers

Information Not Available

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, Qlik, SAP and others in Data Quality. Updated: June 2026.

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