User Reviews of Apache Spark & Hortonworks Data Platform

Updated March 2024

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Apache Spark review

Ilya Afanasyev
Ilya Afanasyev
Senior Software Development Engineer at Yahoo!
Reliable, able to expand, and handle large amounts of data well
We use batch processing. It works well with our formats and file versions. There's a lot of functionality. In our pipeline each hour, we make a copy of data from MongoDB, of the changes from MongoDB to some specific file. Each time pipeline copied all of the data, it would do it each time without changes to all of the tables. Tables have a...
Hortonworks Data Platform review

Oguzhan Herkiloglu
Oguzhan Herkiloglu
Senior HPC and BigData Architect at Bitnet
Provides a complete solution and just one user interface that can manage all the...
One of the most valuable features is that you can configure your data nodes in the big data. Whatever you want. Normally, for example, if you are testing websites and Hash clouds and other sites, in most of them you must manage more than three or four requirements. For example, you must install each feature, you must compile some additional...

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