MapR Makes it Easy
December 14, 2015
MapR Makes it Easy
Score 8 out of 10
Overall Satisfaction with MapR
We deploy MapR for large corporations deploying big data projects. Our software installs and configures MapR plain or fully configured with spreadsheets. The flexibility MapR has allows us to provision backend nodes with the proper networking and disk configuration automatically for optimized performance. It is being used by several corporations we support in large scale big data deployments for fraud detection and user behavior analysis.
- MapR is fast. We were able to beat the Terasort in record in 2012 on 360 nodes during the initial deployment of a cluster that is now 4000 nodes.
- MapR is reliable. We rarely if ever have problems deploying MapR. It's the kind of software that "just works."
- MapR scales. We have a client using MapR in all their big data clusters, ranging from 50 to 630 machines. Test, development, and production all deploy MapR.
- 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.
- Increased employee efficiency for sure. Our clients have various levels of expertise in their deployment and user teams, and we never receive complaints about MapR.
- MapR is used by one of our financial services clients who uses it for fraud detection and user pattern analysis. They are able to turn around data much faster than they previously had with in-house applications
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.