QueryIO Reviews

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Marco Reyes
Real User
Manager of Process & Systems / Solutions Architect / BI Developer at HENKEL FRANCE
Feb 26 2020

What is most valuable?

I like the connectivity of the solution. We are able to put in large sets of data and are able to share that with a small query. We can then offer others access. The solution allows you to create your own cube, particularly in a shared… more»

What needs improvement?

Data cleansing is not intuitive and user-friendly. When things have errors, you have to hunt them down as opposed to the solution simply showing you intuitively where to find it. I would recommend that they look at that Tableau Prep tool… more»

What's my experience with pricing, setup cost, and licensing?

I'm not familiar with the cost of licensing, but I know that their basic model is probably free, and it covers 90% of any novice's needs. The license packages have, from my experience, just a few more bells and whistles, particularly when… more»

Which solution did I use previously and why did I switch?

We had a combination of Tableau with Naim as the back-end to clean the data and then we also used Cloudera to transact between systems. This setup required a lot of human resources and knowhow and even with all that, it was mostly… more»

What other advice do I have?

We are using the standard 34-bit version of the solution that comes with most standard Office and Excel packages. The solution offers the bare basics but it's everything that you would need to know with regard to data analytics and key… more»


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What is QueryIO?

QueryIO is a Hadoop-based SQL and Big Data Analytics solution, used to store, structure, analyze and visualize vast amounts of structured and unstructured Big Data. It is especially well suited to enable users to process unstructured Big Data, give it a structure and support querying and analysis of this Big Data using standard SQL syntax. QueryIO enables you to leverage the vast and mature infrastructure built around SQL and relational databases and utilize it for your Big Data Analytics needs.
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