Pritam VidulkarSenior Associate at Cognizant Technology pvt. Ltd.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Once it is set up, it is easy to use and maintain."
"With Oracle Data Quality, the most valuable feature is entity matching."
"I have found the most valuable features to be data cleansing and deduplication."
"This is an established product with powerful data analysis and varied options for user entry points."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"If you compare it to SQL, the memory and development times are very quick."
"The technical support is excellent."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"The product offers very good flexibility."
"If the length of time required for deployment was reduced then it would be very helpful."
"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."
"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"The solution could use better documentation."
"The vendor needs to revisit their pricing strategy."
"The price of this solution is comparable to other similar solutions."
"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
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.
Oracle Data Quality is ranked 7th in Data Quality with 3 reviews while SAS Data Management is ranked 2nd in Data Quality with 6 reviews. Oracle Data Quality is rated 8.0, while SAS Data Management is rated 8.6. The top reviewer of Oracle Data Quality writes "Easy to use and maintain, integrates well, and can handle any type of data". On the other hand, the top reviewer of SAS Data Management writes "One-stop-shop solution for sorting, categorizing and summarizing your data". Oracle Data Quality is most compared with Informatica Data Quality, whereas SAS Data Management is most compared with Informatica PowerCenter, Informatica Axon, Palantir Gotham, Collibra Governance and Informatica Enterprise Data Catalog. See our Oracle Data Quality vs. SAS Data Management report.
See our list of best Data Quality vendors.
We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.