Denodo Reviews

I mainly use Denodo for data modification.

Denodo's best features are its performance, easy data transformation, and the job scheduler. 

Denodo has some difficulty supporting large numbers of records. Its error reporting is also unreliable and doesn't give clear information on the problem. We've also recently had an issue with roles getting deleted.

I've been using Denodo for almost fifteen months.

We've recently had some problems with slowness and instability. 

Denodo is scalable.

The initial setup was easy and took about an hour.

I would rate Denodo seven out of ten.

Denodo can be deployed on-premise or in the cloud.

Denodo is used mostly for creating the views and for cache enablement for remote table creations and for pushing the view into the target DBs. The solution can extract data from multiple sources, schedule, create the views, and push them to the target.

The most valuable features of Denodo are the extraction option for adapters, and there are many things for the views, that are cached. Denodo is not storing the data, it looks first to tune the query, and these things are for the agents.

Denodo can improve usage management-related aspects. If you deal with the mini views, it gets stuck. The performance is very slow when we go with a large number of views and high volume.

In a future release of Denodo, they could add more features, such as remote tables and metadata for views. 

I have been using Denodo for approximately two years.

Denodo's stability could improve.

Denodo is scalable.

We have approximately 100 people using this solution in our organization.

The support for Denodo has been good from our internal teams and their support.

We are using the CSD pipeline for the deployment of Denodo.

We have 30 to 40 people for the maintenance of Denodo.

I rate Denodo a seven out of ten.

I am currently a Senior BI Developer. We are partners with Denodo and market to our customers as a solution to migrate data virtually. Customers have an average of 50 users.

Our customers use Denodo to connect to multiple sources and in the retail process.

Denodo makes it easy to export data as a service or data link to other services. 

Denodo is very easy to learn and user-friendly. Data is easily exported and can be used in reports and other programs.

There have been some issues when you are at a table. Currently, Denodo exports data sets for a tabular model. When you are finished modeling your database or data warehouse they export a link to be used in Tableau. They should support other tools like Power BI. 

Denodo has been very stable.

Denodo's customer service and support are very helpful.

We had used ETL tools previously to move data and then export the data. 

The initial setup is straightforward and not complex. It can be deployed within two or three hours.

We deploy Denodo with our administration team. 

I would rate Denodo a 7 out of 10 for what they are offering. I recommend Denodo for use because it is easy to use, even for non-technical people who have some knowledge of data tables including Excel.

I am a consultant and I use Denodo for my clients.

The most valuable features are data lineage and the concept of a semantic layer.

The support is not the best and should be improved.

In the future, I would like to see a different structure for how they manage the data sources and connectors. Having a better data lineage tool would also be an improvement.

Better audit capabilities would be a useful enhancement.

I have been working with Denodo for approximately five years.

Denodo has been stable so far.

Everything from the initial support for questions, all the way through to ongoing support once you're live with the product, needs improvement.

We have worked with lots of other tools that do different things, but not data virtualization.

The initial setup is quite easy.

The licensing should be improved, as the cost per connector is quite expensive.

We looked at other tools including Data Virtuality, Alteryx, and AWS Datahub.

My advice for anybody who is considering Denodo is to investigate it first. Download a free copy from the AWS Marketplace and really test it before you embark on your projects. Ensure that it meets your requirements, no just in the short-term, but in the long-term.

This is one of the better products on the market.

I would rate this solution a seven out of ten.

Denodo is a tool used for data virtualization. Our company provides services to our customers. One of our customers is on the Denodo platform.

Denodo is lightweight in terms of how it leads you to combine your discrete data systems in one spot. You are able to logically define and create your desired data set without actually getting your data shifted from the data system like any trivial ETL system does. It will not perform any data movement.

The solution provides ease for accessing data in various ways, including on-demand APIs. Uploading your data on an API will take less than an hour.

Denodo provides a good experience in terms of data visualization. The data on demand is the best feature. I also enjoy the go-to feature for data fabrication, or data mass structure, where data democratization is being sent data for all people at that time.

There are a few cosmetic changes that would make Denodo better, including offering holistic governance. It would be beneficial if you could see what inquiries are going around Denodo on the remote system, including who has logged in and which one is using which part of the deviant spaces. 

Denodo has provided several modules with their scheduler that also have room for improvement. 

When thinking about future releases, Denodo should consider their platform availability because our administrator has seen some challenges in this regard. It requires some optimization on the developer side as well. 

Denodo would benefit from having a more user-friendly view. It would be good if the solution provided a much-needed cellular platform.

I have been using Denodo for five years.

The stability of Denodo is okay. You will encounter some load optimization and performance tuning, so you do need some technicality around your data pack. 

The scalability is there. With AWS, there is elastic computing that manages scalability.

We currently have over 200 people working on Denodo. This includes our customer's manufacturing organization as well as people from business intelligence and analytics. They consume data directly from Denodo.

Customer service and support with Denodo is quite good. Our concerns are resolved and addressed on time. Overall, I would rate Denodo's technical support a four out of five.

Positive

The initial setup of Denodo is straightforward. The time it takes to deploy depends on each scenario. If you are looking for an inspired level of adoption, that will require time to model the data. However, if you are looking to use Denodo on a more simplified basis, deployment will not take longer than a couple of weeks.

Being an architect, I would rate the ease of setup a four and a half out of five.

Denodo typically provides a positive ROI within six months.

Licenses are available for the solution manager or for one of the components. It is a fixed price license for those that connect. The cost for Denodo is in line with other similar products.

The first comment I have for anyone considering implementing Denodo into their organization would be to ensure they understand that they should not expect ETL from Denodo. ETL is an old concept of data integration, while Denodo is the latest version. 

With Denodo, there is no need to further your ETL workflows. The workflows will be created in parallel, and you will realize how the Denodo implementation is setting it up to replace your ETL flow. You do not need to smooth or attach anything to what is currently running. By working in parallel with what the Denodo system is using, you will be able to copy across your users on Denodo and realize virtualization over your ETL. 

Overall, I would rate Denodo an eight out of ten.

I am a consultant for an organization.

We are using this solution for data anonymization, and then the particular use case that's of an advantage is the chain of custody of data. That is something that is really critical today, in breaking down that barrier.

Data can remain where it is and still be shared.

Agility due to personal empowerment of our analytics professionals 

The most valuable feature is Data Catalogs.

What I like about them is that there's a breakout, a functional component of other large enterprise systems, which makes it much more usable.

The dropdown menus feel antiquated to me, and the administrative portals need improvement.

In the next release, I would like to see a better user experience and the interface needs modernization.

I have been using this solution for a year and a half.

We are using version 7, but it's 8 now.

It's a stable product.

I haven't had any experience scaling it, but it's certainly a scalable platform.

Technical support is fantastic as far as availability and advice. I would give them the highest rating. I have had no trouble getting ahold of them and they have offered a lot of free advice.

They are really good.

Net new. 

Because it's an enterprise system, it was both straightforward and complex. There is no such thing as not complex for an enterprise.

It took some months for a POC.

I am the consultant, so I do the strategy and then we hire out the different implementers.

I don't know the actual cost, but it's tens of thousands of dollars per month.

It's an ongoing license similar to a bandwidth license. It's not priced like that, it's priced on a core, but it's a bandwidth license.

The pricing is okay, as it's less costly than other options. They could probably charge more if they wanted to.

This solution checked all of the boxes so we committed to it for proof of concept.

They're an industry leader for an emergent layer, and they don't sell you everything else associated with it.

There are not very many competitors. 

I would suggest to get on with the proof of concept with it, and then if it doesn't work, you can back away from it with very little pain.

You can scale up and get on with it. 

We have found that all of the competitors have a series of products that would cost a great deal more.

I just became a partner as a consultant. I went through the partner training very recently.

I would rate this solution an eight out of ten.

We use an entirely on-premises deployment model. Our primary use case of this solution is for the virtualization or unification of a data interface that produces national statistics.

It is a go-to tool for data virtualization. The virtualization and data catalog are the features of why we chose Denodo.

The data catalog certainly has room for improvement. It is functional but we look forward to development. We are in constant contact with Denodo and they are fully aware of our needs.

I'd like to see an improvement to data catalog functionality which would immensely increase the value of this product.

In our organization, when we have to analyze a lot of data, the possibility to represent the very meaning of data to the analysts, which is actually the functionality of data catalog, is very important. Denodo is very good at creating unified access to data. It's not that good yet, in the integration of the semantics of the data, in determining what the data means. In a statistics organization, the integration with a metadata system is extremely important. That's the reason why we have found a way to integrate our metadata system with Denodo data catalog. It's easy to imagine much more functionality and we know that Denodo is fully aware of that. Denodo is improving its data catalog functionality as a result. It's not to say that we are not satisfied with the existing one but we'd like to see improvements.

It is absolutely stable. 

It is scalable but not for all the purposes. Denodo still has some more performance improvements that we do not use as we don't need them but otherwise, Denodo is scalable. 

We do have intentions to increase users.

We have a contract with their support. We are in constant contact with them as we handled the implementation by ourselves and so, we had a lot of questions which all got answered. Tech support is certainly one of their strong points.

One thing which is very important along with it is that, if needed, the end customers, like us, have access to the very developers. It means that our support requests are not only handled by some anonymous tech support representative but, if we find some bug, we are able to contact the very high-level developers to get our requests handled.

We didn't have any other data virtualization tools available. Denodo was one of our first options when we were evaluating solutions and luckily we were able to close a deal at a reasonable price level.

The initial setup has two parts. The technical setup is very easy and the functional setup needs a lot of work, but this cannot be avoided because of the very nature of data virtualization. You have to technically describe all of your data sources, how to access them, where they are situated and so on. The amount of work is substantial, not overwhelming but substantial. Denodo has made it as simple as it's reasonably possible to expect. We are happy with the level of sophistication.

Deployment is an ongoing process. It is going on right now. If you have new data sources, you have to describe and set them up. As we have lots of data sources due to the very nature of our activities, as a national statistics organization, we have lots of data and we are setting up additional data sources every single day. The implementation is still ongoing but there is nothing wrong with that. It's the nature of the platform.

In our area, there is no reseller yet. We purchased the license directly and we have been using the professional services authorized by Denodo, as a one-year support contract. It's extremely useful and of great value. We did not use outside resources due to two reasons. One of them is that we don't have any and the other reason is that, we didn't need, as Denodo is extremely helpful.

We made an internal analysis of available blind spots inside our organization and of our business needs and platform needs. We eliminated all competing platforms. We took a close look at many platforms but Denodo was the only one that fit all our requirements.

If you have the business needs for data visualization which is a core technology that Denodo represents, then, I would say to go for it as the platform really works well. Don't have too high expectations on data catalog functionality. It works, but, its current implementation is rather rudimental. I would recommend it to others. For us, it is a success story.

I would rate it a nine out of ten. Not a ten only because I am hesitant to give a perfect score. 

We mainly use this solution to virtualize items that are stored on old node servers.

This solution provides us with the ability to sync data, and make it available for anyone to use across the business.

We would like this solution to be more universally user-friendly. At present it is really only aimed at IT specialists.

We have been working with this solution for a year now.

We have found the on-premises version of this solution to be very stable.

This solution is scalable, but it is expensive to do so currently.

The initial setup of this solution was easy and straightforward.

The licensing charges for this solution are payable annually.

I would rate this solution a seven out of ten.