Oracle Data Quality OverviewUNIXBusinessApplication

Oracle Data Quality is the #7 ranked solution in our list of top Data Quality tools. It is most often compared to Informatica Data Quality: Oracle Data Quality vs Informatica Data Quality

What is Oracle Data Quality?
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.

Oracle Data Quality is also known as Datanomic.

Buyer's Guide

Download the Data Quality Buyer's Guide including reviews and more. Updated: September 2021

Oracle Data Quality 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,
Oracle Data Quality Video

Pricing Advice

What users are saying about Oracle Data Quality pricing:
  • "The vendor needs to revisit their pricing strategy."
  • "The price of this solution is comparable to other similar solutions."

Filter Reviews

Filter by:
Filter Reviews
Industry
Loading...
Filter Unavailable
Company Size
Loading...
Filter Unavailable
Job Level
Loading...
Filter Unavailable
Rating
Loading...
Filter Unavailable
Considered
Loading...
Filter Unavailable
Order by:
Loading...
  • Date
  • Highest Rating
  • Lowest Rating
  • Review Length
Search:
Showingreviews based on the current filters. Reset all filters
Venkatraman Bhat
Delivery Head - Database and Infrastructure Services at Tech Mahindra Limited
Real User
Top 5Leaderboard
Easy to use and maintain, integrates well, and can handle any type of data

What is our primary use case?

We are a system integrator and software solutions company, and Oracle Data Quality is one of the solutions that we use to provide services. In a multiple-system integration scenario, there is data flowing between different systems. Oracle Data Quality is used to establish a single source of truth. It is also used for new system integration and new application integration.

Pros and Cons

  • "Once it is set up, it is easy to use and maintain."
  • "If the length of time required for deployment was reduced then it would be very helpful."

What other advice do I have?

We primarily work with the on-premises version, although we do have one project that uses the cloud-based deployment. The cloud version is a recent offering from Oracle. My advice to anybody who is implementing this solution is to understand and define the business needs properly. All of the requirements have to be properly defined. This will allow you to take advantage of the best benefits of Oracle Data Quality. It is important that you don't keep changing the requirements during implementation because it can become very messy. There can be a lot of issues that come from this. Creating the…
BC
Project Manager/Application Architect at a insurance company with 1,001-5,000 employees
Real User
Top 10
Can be used in the fund raising industry for entity matching

What is our primary use case?

We use it in the university fundraising industry. Once students graduate and start giving to the university, they become donors. Then, we need to maintain their giving history. Giving is quite complicated. You can make a pledge, and your company can make a matching gift. We need to make sure that all that type of information is in our system. When they make a gift to online, we want to make sure to load the data into our Advancement database right away or as soon as possible. We don't want to delay a week, for example, and send them a gift received acknowledgement.

Pros and Cons

  • "With Oracle Data Quality, the most valuable feature is entity matching."
  • "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."

What other advice do I have?

Because we need to do a lot of coding with Oracle Data Quality, we are actually looking into transitioning to a CRM. We like having new ways to interact with the application system, such as to click and drag and to build a program of the flow process. Instead of coding, we would be able to actually build in processes and interact more with the system from the front end. However, I think Oracle Data Quality is definitely worth giving a try. It's a good product. It will help keep your data in line with other systems. So, I would rate it at eight on a scale from one to ten.
Find out what your peers are saying about Oracle, Informatica, Trillium and others in Data Quality. Updated: September 2021.
534,226 professionals have used our research since 2012.
QA
Integration Specialist at a government with 1,001-5,000 employees
Real User
Highly stable, responsive technical support, and effective data cleansing and deduplication

What is our primary use case?

We are using this solution for data quality management.

Pros and Cons

  • "I have found the most valuable features to be data cleansing and deduplication."
  • "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."

What other advice do I have?

My advice to others is this on-premise Oracle Data Quality solution would definitely deprecate over a short period of time. You want to have some form of cloud integration using the on-premise versions because a lot of these enterprise applications are moving towards a public cloud. This tool can be really beneficial because data mining or cleansing has a lot of advantages. There should be a way we can manage cloud offerings. From on-premise to cloud, there are issues with people replicating data because of the cost involved, there needs to be cloud functionality to avoid this. I rate Oracle…
Product Categories
Data Quality
Buyer's Guide
Download our free Data Quality Report and find out what your peers are saying about Oracle, Informatica, Trillium, and more!