Denodo Reviews

My customers use Denodo for data integration. Before using Denodo, they did not have a platform to control all data sources with one platform. Denodo allows connecting different data sources for analysis and reporting.

The most valuable feature of Denodo is security, especially the privilege control. Denodo can connect over 150 data sources, making data integration effective. 

The GUI interface allows easy connection of all data sources like API, JSON, or any JDBC source. 

Additionally, the enterprise version has a global security management feature to control privileges by role.

I am still waiting for Denodo to support vector databases. Currently, Denodo does not provide a vector database, which my customers build on their own to use AI functionalities.

I have been working with Denodo for one and a half years.

Denodo is stable. It can handle API stress tests effectively.

Denodo is scalable.

As a presales engineer, I do not have direct experience with the initial setup since my role is focused on selling the product.

Pricing is case by case, so I cannot provide specific details.

I only work for Denodo. I am not familiar with other solutions.

If customers want to make their data valuable, they must know which data they are using. By using Denodo's data category feature, they can identify and manage valuable data effectively.

I'd rate the solution eight out of ten.

We use the solution for data virtualization to publish the data as a product. We have different teams who have their own database. If a team needs any data, they get it from Denodo.

It is easy to virtualize data using the solution. If required, we can also use the solution for caching.

The solution is slow when there are many virtualization layers. The solution is also slow when we connect the on-premise solution with the one on the cloud through a network gateway.

I have been using the solution for two and a half years.

The product is stable.

More than 100 people in the organization are using the solution.

As a developer, I can easily set up the solution on my local Kubernetes. Local configuration is pretty easy.

A lot of virtualization leads to data latency. We can do caching on the intermediate layer. We can also leverage Databricks if we have any complex transformation.

I have a local Docker container. I can easily integrate my local container through Git repo and clone it in our depth server. Denodo is the only tool I know for data virtualization. I will recommend the solution to others. Overall, I rate the product a ten 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 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.

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.

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.

We primarily use the product for data virtualization and visualization. We actually have it integrated with some other virtualization tools as well. We design the systems and hand them over to our customers.

The price is fantastic. The cost is reasonable for what is offered.

Overall, the product works quite well and has a good set of features.

Their integration capabilities with data are great. The solution can integrate different types of data quite easily.

In our country, we do have to get the training and do the end-to-end delivery, and that can be a bit hectic when it comes to customer systems development. We need a bit more external support from the company. Support has been a real issue for us.

We occasionally have some integration issues that we need to work through.

In terms of features, et cetera, I don't know if there is anything really missing from that perspective. We are also new to this product. We have to analyze it and other products and that process often takes some time. It's not fair to comment on what's missing without surveying the entire landscape.

We've been dealing with the solution for about two years now.

We haven't had any complaints from our clients in relation to stability. It must be good, otherwise, we would have heard of issues surrounding crashes or glitches. 

In terms of scalability, the solution has some integration requirements. People are writing different types of code so sometimes there can be issues related to that. However, compared to other comparable products they are relatively good at integrating.

We've been disappointed with the level of technical support, particularly on the outset. We need more training and so do our customers. This is lacking. We're not completely satisfied with the level of service provided to us.

The initial setup is a bit new to us and it can be a bit complex. Having customer support that could assist us more effectively would be helpful in easing the process.

The deployment process depends on the client and their requirements (such as the number of data fields required). It can be anywhere from a few weeks to a few months.

We'd like to have more technical support during the implementation process, however, they don't seem to offer too much assistance.

While the pricing is expensive, it's still a fair price for the offering. Of course, we always want to pay less where we can.

We are local partners. We have a business relationship with Denodo.

We would recommend the product overall. 

On a scale from one to ten, I'd rate it at an eight. If they improved their integration capabilities and used some standard integration interfaces, I would mark them higher. If they offered more training and support, I'd mark them higher still.