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Most Helpful Review
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: May 2021.
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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
"Once it is set up, it is easy to use and maintain.""With Oracle Data Quality, the most valuable feature is entity matching."

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"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms.""It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

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Cons
"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."

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"I would say that some of the support elements need improvement.""They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

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Pricing and Cost Advice
"The vendor needs to revisit their pricing strategy."

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"It's a subscription-based platform, we renew it every year.""It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

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Top Answer: The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms.
Top Answer: It's very cost-effective in terms of licensing and implementation. It's a subscription-based platform, we renew it every year. There are different packages that are Data Integration, Data Management… more »
Top Answer: I would say that some of the support elements need improvement. It is built on open-source technology and they provide platinum support, but they need improvement. We have a large customer base and… more »
Ranking
7th
out of 41 in Data Quality
Views
374
Comparisons
210
Reviews
1
Average Words per Review
686
Rating
9.0
4th
out of 41 in Data Quality
Views
1,724
Comparisons
1,078
Reviews
3
Average Words per Review
903
Rating
9.0
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Also Known As
Datanomic
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Overview
Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.
The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.
Offer
Learn more about Oracle Data Quality
Learn more about Talend Data Quality
Sample Customers
Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider9%
Financial Services Firm8%
Energy/Utilities Company6%
Company Size
REVIEWERS
Midsize Enterprise29%
Large Enterprise71%
REVIEWERS
Small Business58%
Midsize Enterprise8%
Large Enterprise33%
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: May 2021.
502,335 professionals have used our research since 2012.

Oracle Data Quality is ranked 7th in Data Quality with 2 reviews while Talend Data Quality is ranked 4th in Data Quality with 3 reviews. Oracle Data Quality is rated 8.6, while Talend Data Quality is rated 9.0. 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 Talend Data Quality writes "Saves a lot of time, good ROI, seamless integration with different databases, and stable". Oracle Data Quality is most compared with Informatica Data Quality and IBM QualityStage, whereas Talend Data Quality is most compared with Alteryx, Ataccama DQ Analyzer, Informatica Data Quality, RapidMiner and Melissa Data Quality.

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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.