Re: Response by MapR
"None of the claims by Cloudera about MapR are accurate." Ok, let's take a look.
"We provide fully integrated search as part of our platform." Maybe I was mistaken. Which version of MapR do I download to get Search out of the box? M3? M5? M7? From your website it really looks like you need a separate download of and license for LucidWorks Search to run Search in production.
"MapR wire-level security applies to ALL services in the cluster not simply HBase. Role-based access control is supported and fully integrated with all enterprise directory services." These are two different things. Never claimed MapR didn't have SSL (or any other wire-level security), or that M7 didn't provide RBAC. However, as far as I know, MapR doesn't have RBAC for data in Hive tables, i.e. what Apache Sentry provides.
If there's anything else, please let me know.
On the other hand, re: "The conversation about an Enterprise Data Hub should focus on the important requirements including full data protection, business continuity and high availability." Well, that's a pretty narrow view of requirements - which, of course, conveniently align to what your MapR-FS provides - but since those are important nonetheless, it's also fair to point out that Apache Hadoop and Cloudera provide all of that, too.
Finally, you end with mention Apache Drill and Apache Spark. There's an important distinction here that I think you've missed. Few want to run unsupported software in production, so it's important that they understand what you, as a vendor, are explicitly offering support for under contract. Honestly I can't tell what MapR actually supports, because you list just about every open source project and SQL-on-Hadoop tool on the market. I even think I saw MapR talk about Facebook's Presto the other day. This must be awfully confusing for customers. Where can we find the official list of *MapR supported* tools and projects, in the sense of "things a customer can file tickets about at 3am and you will debug under a given SLA and, hopefully, issue a fix"?
 http://www.mapr.com/products#sql "There are a number of applications and projects that support SQL access against data contained in the MapR distribution for Hadoop including Apache Hive, Impala, Shark-on-Spark, Hadapt and others."