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Find out what your peers are saying about Denodo vs. SAP HANA and other solutions. Updated: January 2022.
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Data Analytics Specialist at a pharma/biotech company with 10,001+ employees
Real User
Top 5Leaderboard
Good performance and integration, but needs more training documentation
Pros and Cons
  • "The most valuable feature is the performance. Denodo is very useful, especially in this huge pharma environment. I've found that older SAP solutions were very tightly coupled to each other, which resulted in data restrictions. Getting data from different sources was tough and tedious. Compared to these old solutions, Denodo is very easy to work with for the analytical team. Now that we've implemented this virtualization layer, we are capable of getting the data very smoothly. We implemented a very small unit, but the performance and integration have been very good."
  • "Denodo's training documentation could be improved by providing more material. From an administrative standpoint, I've found that only Denodo websites provide the usual tutorials. It may be because it's a bit of a restricted tool, but it results in trouble with learning. Normally, I can find help and solutions from other sources, but I haven't been able to find any for Denodo. Other that, it's fine and it performs well. I only have six months of experience, so I can't accurately suggest improvements."

What is our primary use case?

My primary use case is for data virtualization. I'm working in the pharma domain, so there are large amounts of data coming in from different sources, which I aggregate into Azure SQL, some other web services, and SAP applications like CRM, POS, and others. Denodo acts as a virtualization layer, where we are collecting and creating views for analytical purposes. So we use Denodo to integrate and transform. It is deployed on-premises. 

What is most valuable?

The most valuable feature is the performance. Denodo is very useful, especially in this huge pharma environment. I've found that older SAP solutions were very tightly coupled to each other, which resulted in data restrictions. Getting data from different sources was tough and tedious. Compared to these old solutions, Denodo is very easy to work with for the analytical team. Now that we've implemented this virtualization layer, we are capable of getting the data very smoothly. We implemented a very small unit, but the performance and integration have been very good. 

What needs improvement?

Denodo's training documentation could be improved by providing more material. From an administrative standpoint, I've found that only Denodo websites provide the usual tutorials. It may be because it's a bit of a restricted tool, but it results in trouble with learning. Normally, I can find help and solutions from other sources, but I haven't been able to find any for Denodo. Other that, it's fine and it performs well. I only have six months of experience, so I can't accurately suggest improvements. 

For how long have I used the solution?

I have been using Denodo for almost six months. 

What do I think about the stability of the solution?

Currently, we haven't found any discrepancies or problems with stability. We are a team of 25 using Denodo simultaneously, but we're still in a development and testing environment. Once it's in production, we'll be able to tell if there's any kind of a bottleneck. 

What do I think about the scalability of the solution?

Our Denodo administrative team created a pipeline from one environment to another environment and we haven't had any trouble yet. The production deployment is going to happen soon, so within a month or so we'll have a better understanding of the production data, streaming data, and all that. 

How are customer service and support?

Technical support is fine. I will say that my team and I are interested in pursuing a Denodo certification. I was looking for a way to take the Denodo Administrative Certification 8.0, but I'm still waiting on that. Developers are restricted right now because we need to pay for each and every topic in Denodo. 

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

I have worked with Azure Data Factory. With Data Factory, you need a staging solution, a physical data platform for storage. Denodo doesn't need this, since it has a cache mechanism. 

I have also previously worked with TIBCO, but that was more service integration than data integration. 

How was the initial setup?

The initial setup was easy. Also, connecting Denodo to Power BI was a smooth process. It was simple to connect it with a Denodo ODBC connector. So installation and connecting with other tools were both very easy. 

For deployment and maintenance, we are a team of two developers. It took around eight months to develop the unified views. 

What about the implementation team?

I implemented through an in-house team. 

What other advice do I have?

I rate this solution a seven out of ten. I work in an advanced analytical area where it helps to reduce bottlenecks, extract from different application sources, improves performance, and gets the desired data, which is what those endpoint people need. 

If you have a vast data fabric or data mesh architectural framework, I definitely suggest implementing this kind of a virtualization layer. I recommend Denodo because it has been very easy, compared to other integration platforms. 

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.
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Find out what your peers are saying about Denodo vs. SAP HANA and other solutions. Updated: January 2022.
564,643 professionals have used our research since 2012.