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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
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 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.

What is most valuable?

Customers are really keen to use this product for profiling, auditing, synching, and matching.

This system can handle any kind of data, whether it is customer data, product data, personal data, or financial data.

It integrates well with third-party applications.

Once it is set up, it is easy to use and maintain.

What needs improvement?

There are some challenges with respect to standardization, matching, segregation, and merging. Our technical team has not found this to be problematic but it has been reported by some of our customers.

Making this solution easier for non-technical end-users would be an improvement.

If the length of time required for deployment was reduced then it would be very helpful. For example, rather than take two or three weeks to deploy, having a simple implementation done within two or three days would be great.

The vendor needs to revisit their pricing strategy.

For how long have I used the solution?

I have been using Oracle Data Quality for between six and eight years.

What do I think about the stability of the solution?

Once it is configured, it is stable and will not crash.

What do I think about the scalability of the solution?

This solution can scale with no issues. All of our customers are enterprise-level organizations, although I do know of some medium-sized companies that also use it.

How are customer service and technical support?

The technical support from Oracle is excellent.

Which solution did I use previously and why did I switch?

I also work with Informatica and other tools, but this is my primary solution for this task.

Compared to the competition, Oracle Data Quality is a very flexible and advanced product.

How was the initial setup?

The initial setup is not complex, although it requires expertise and experience. It is not an out-of-the-box solution. The reason is that it is not meant for a particular purpose. It is a very powerful product that can handle any type of data, which means that it has to be properly configured for the requirements. Once the customer-specific configuration has been set up, the rest is quite straightforward.

For a couple of applications, the deployment will take a couple of weeks to get everything up and running.

What about the implementation team?

We deploy this solution for our clients. For a simple installation, it does not require more than one person for the deployment. One administrator is required to set it up. After that, one data quality person is enough to handle it, even in an environment of medium complexity.

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 right roadmap for the various types of data is very important.

We have not had any major challenges in working with this product. Nonetheless, no product is perfect and there is always an improvement that is needed.

I would rate this solution a nine out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Nhlanhla Mgoza
Data Services Consultant at Inch solution
Consultant
User-friendly, straightforward to set up, and can extract data at an ODP level
Pros and Cons
  • "We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level."
  • "They could make it easier to work with web services."

What is our primary use case?

From an integration perspective, normally, we're using SAP Data Services, however, I can only use it from an ETL perspective.

This is used to extract business content from the system. It's the tool that allows you to extract business consent and for purposes of business intelligence; businesses use it for legally reporting requirements.

How has it helped my organization?

There is what you call a subsystem, however, the data within stuff itself is not flexible so that you would be able to use tools like Power BI with it as it is. In order to use Power BI tools and so on, you need data to be in a certain layout and to be extracted in a certain structure. This tool allows you to do that.

What is most valuable?

Having different ways of extracting data has been very useful. We can extract data at a table level, extract data at the ETL level, and we can extract data at an ODP level. 

The solution is very stable.

It's a user-friendly product.

The deployment is quick and it's straightforward to set up.

What needs improvement?

They could make it easier to work with web services. They need to make things like connecting to Google Databases, and so on, easier. They also have a data connection layer. If you could connect to those web-based data mixes with other vendors, web vendors, that should help.

What do I think about the stability of the solution?

Glitches are very, very few and far between. It's very user-friendly. I won't complain much there.

What do I think about the scalability of the solution?

We've found the solution to be scalable. 

We have five or six people who are data analysts who use it. 

There are no plans to increase usage with their current model of work.

How are customer service and support?

Whenever we needed technical support services it's been there for us, however, we hardly have ever needed support.

Which solution did I use previously and why did I switch?

We did not use a different solution.

How was the initial setup?

The initial setup is very easy. It takes about a day for implementation and setup. 

You only need one person to handle deployment and maintenance tasks.

What about the implementation team?

We used a consultant to assist us with the implementation process. 

What's my experience with pricing, setup cost, and licensing?

I cannot speak to the exact cost of the solution, however, in terms of if you look at the consulting fee, and you work up debt on a yearly basis, it might be $50,000 USD. There aren't additional costs beyond the standard fee.

Which other solutions did I evaluate?

We did look at Informatica as well before choosing this solution.

What other advice do I have?

We are end-users. We provide services for the customer. I would not necessarily be the customer. I would provide services on behalf of the customer.

We've installed what we call a specific DDI. We use a hybrid setup.

I'd advise new users to know the product more before they implement it. It's important to be familiar with it before you commit.

I'd rate the solution at a nine out of ten in the environment in which it's used, which is the best tool. In an environment where you've got theft as a source and you've got many targets, there are very few solutions that can match it.

Which deployment model are you using for this solution?

Hybrid Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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