Download Checklist to Compare SQL Engines for Hadoop

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Checklist to compare SQL Engines for Hadoop
Finding the right SQL Engine for Hadoop has always been a tough task, especially when you have myriad of options to choose from. When all SQL Engines that work on Hadoop, whether open sourced or not, claim the same capabilities and sound exactly the same, it is good to have a simple checklist to know how to compare different options.  Download the checklist to avoid expensive experimentation and wasting precious developer resources.
The checklist provides you the info on the following categories:
  • What are the basic features you should look for? Is it ANSI SQL? Or Open Source? Or the ability to run User Defined Functions? Get all the basic features you need to consider.
  • What kinds of workloads should be supported by your SQL-on-Hadoop solution? Today, you may be focused on a limited set of workloads. However, it is good to have a broader approach to selecting the right SQL Engine while considering the growing importance of Hadoop and Big Data for your business.
  • What Client connectivity you should expect? Focus on minimizing application rewrite and get data in and out with minimal effort.
  • What should be the options for data import?
  • What storage engines SQL Engines should support and how they should optimize for each storage engine?
  • What kind of deployment options SQL Engines should offer?
  • What performance capabilities you should look for?
  • How about supporting major Hadoop distros?
  • What manageability features should be available?

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