Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Sign in
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help

Good product to use but needs improvement in some areas

  • By Harikrishan N.
  • on 07/17/2020

What do you like best about the product?
1) High range of sources and targets are supported.
2) It makes data analysis so simple as you could do a lot with only using SQL.
3) Good range of pre-defined functions.
What do you dislike about the product?
1) GUIs for Monitor and scheduling applications need a revamp.
2) Formatting of VQLs in Virtual Data port needs to be looked upon. VQLs format in a single line in spite of user forming a beautifully format query.
What problems is the product solving and how is that benefiting you?
Data Analysis:
I have been using Denodo to read data from a variety of sources like Enterprise Datawarehouse, Cloud services and third party APIs. Denodo eliminates the need for lengthy ETL processes and makes analysis very easy.

Easy solution build:
Even when a solution needs to be built using all these sources, we could leverage Denodo to be used as a source and process it in a different framework.

Time-saving:
By bringing all sources to one place, Denodo helps ion reducing development time by a huge percentage. ETL needs proper procedures to be setup and company regulations mean it would take months to move data. Using a data virtualization tool reduces that time to minuites.


There are no comments to display