SAS Data Management and Informatica Cloud Data Quality are leading solutions in the data quality and management category. SAS Data Management stands out for its cross-functional capabilities and integration options, whereas users often choose Informatica Cloud Data Quality for its advanced cloud-based operations and data handling capabilities.
Features: SAS Data Management offers an extensive suite of features, including ETL, CDC, and MDM, enabling access to diverse data sources efficiently. Its data-cleaning capabilities and flexible language make it powerful for data analysis. Informatica Cloud Data Quality emphasizes Master Data Management and cloud-native features, seamlessly integrating with data governance and featuring a user-friendly rule specification system. Users find it suitable for cloud-focused projects due to its simplicity and performance.
Room for Improvement: SAS Data Management could improve connectivity with cloud sources and newer databases, and users call for more cost-effective licensing and intuitive interfaces. Informatica Cloud Data Quality requires better legacy system support and enhanced data validation services. Its pricing model is inflexible, with high costs potentially deterring users.
Ease of Deployment and Customer Service: SAS Data Management's on-premises deployment is complex; however, it receives favorable support ratings. Informatica Cloud Data Quality offers flexible cloud deployment, easing integration. It boasts commendable support in cloud settings, though users seek more features.
Pricing and ROI: SAS Data Management is criticized for high pricing and a complex licensing structure despite a significant ROI, challenging for smaller organizations. Informatica Cloud Data Quality also presents high costs, with users needing more flexible pricing. Both solutions deliver high ROI in regulated industries, though cost remains a consideration.
Compared to Collibra Catalog, where the value is noticeable within six months.
The stability and performance remain issues.
The support is not very good; each ticket starts from scratch as there is no continuity between personnel handling the same ticket.
Even after going out of service support, they still reached back to me whenever I raised tickets.
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
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.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
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.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
The pricing for Informatica Cloud Data Quality is super expensive.
From my experience, SAS Data Management is an expensive tool.
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 quality of the data improves with Informatica Cloud Data Quality.
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.
Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.
This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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