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.
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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.
Currently, we're working for one of our industrial resource clients. It is a hospital-based company that does resources and mining worldwide. So we use Denodo to create views for multiple courses so that clients can review them within two seconds.
We use Denodo to build our views. Before our views relating to GBT ODBC, we sometimes used mosquito bites and XML or flat files.
The ability to transfer data is very valuable. It is one of the best when considering other ETL tools and is easy to maintain. Compared to Informatica and Oracle Data Integrator, Denovo is the most convenient.
We can't scale it to meet digital requirements.
We have been using this solution for one year.
It is a stable solution.
It is a scalable solution.
It has a very straightforward setup. However, in some cases, it may take some time, depending on the database and variety of data.
I rate this solution an eight out of ten.