The solution is comprehensible but it also depends on the customers and the customer's stability requirements. I know that Hortonworks is stable, but sometimes when you are talking with the customers, they wonder if Hortonworks is free, how can it be enterprise. But I explain that Hortonworks is open-source.
Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees
06 October 20
I think it is priced well and it is affordable. Hadoop, which we use with the solution, is open-source. That part is free. We pay only for whatever wrappers Cloudera provides on top of the open-source product, Hadoop. I do not know about the actual pricing in total. The whole point of Hadoop is that it is open-source and they have created their own cluster. Cloudera is just the vendor that they are using. My guess is Hortonworks should not be expensive at all to those looking into using it.
Software Engineer at a aerospace/defense firm with 1,001-5,000 employees
31 December 16
It depends...what is your endgame ?
Hadoop these days mostly servers as a distributed clustering file system that specializes in storing very large files. If you are merely interested in writing software for distributed processing....Apache Spark, or NVIDIA CUDA are a much better choice....if you are interested in the distributed processing of large amounts of data, then the common practice is to use Apache Spark to write the code to process the data, and Hadoop for persistent file system storage.