I use the solution in my company as a virtualization tool. The tool helps users to connect with many databases and resources in the data lake. With the tool, I can create views for the front end of Tableau and other BI tools. I combine data from different or various resources and combine them to create views, which is also useful for analysis purposes. On top of the views I create with the tool, I also make dashboards.

The most valuable feature of the solution for data virtualization in our company stems from the fact that we have various data sources, and we combine those data sources. My company also uses the solution to connect to box files and for ingestion purposes.

Sometimes, Windows-related functions do not work properly in Denodo. The analytic functions in SQL do not work properly. The aforementioned area in the product needs to be taken care of for improvements.

I have been using Denodo for two and a half years.

It is a very stable solution.

It is a scalable solution. I can add as many resources as I want to in Denodo.

There are around 5,000 to 10,000 people in the company that use the product.

I am unsure if the solution is deployed on an on-premises model, but I am sure that it is not deployed on the cloud.

The product's deployment phase was done with an in-house IT infra team.

Denodo has streamlined data integration from multiple sources, such as various databases offered by Salesforce or PeopleSoft.

The tool helps with big data analytics or cloud integration processes since I use it to create views from various sources, and on top of it, I also make dashboards.

I work as a third-party or outsourced consultant in a company in India, and my team works in the USA, where Denodo is available in the service. In my company, there are around 70 people working with the product.

The performance and scalability of the product are nice. I only face issues with the analytical functions since they don't work properly for SQL.

I rate the product's UI an eight out of ten.

If a company has to deal with multiple data sources, then Denodo can be used for virtualization.

I rate the overall tool a ten 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.