HPE Data Fabric

If you need Hadoop and just need raw speed for I/O and have a Hadoop savvy group of engineers who don't need/like web UIs, then MapR is a great fit for you. If you are new to Hadoop or have DevOps folks that are not Hadoop gurus, choosing MapR as your Hadoop vendor will have a steeper learning curve as you will need to do more training and build more admin consoles for them.

Incentivized

• MapR allows easy integration with HBase and MapR DB.
• Easy trial server setup for product testing.
• Excellent training program to help new users get up-to-date with MapR and related products.

Incentivized

• I think MapR's main problem is name recognition. Hortonworks and Cloudera both are big names in the industry, but their deployment mechanisms are a little more difficult to use, especially when trying to fully automate it's deployment.
• Documentation could always be better. But really, if that's your main weakness, it's everybody's weakness.

Incentivized

Hortonworks and Cloudera are both sort of hacky. We have to do a lot of extra steps to automate those two. MapR has far fewer issues and doesn't force you into a once size fits all deployment scenario. There are multiple ways to deploy and some are more amenable to automation, MapR just has that in spades

Incentivized

• Less manual intervention for maintaining a cluster.

Incentivized