1. Cloudera :
Cloudera is founded in 2008 by some of the brightest minds from the big data geniuses including Google, Yahoo!, Oracle, and Facebook. It is based on open source Apache Hadoop but has added its own proprietary software. It provides both free and paid distribution with extra features and support. The long-term achievement of Cloudera is to be an enterprise data hub thus diminishing/eliminating the need for a Data Warehouse. It supports MapReduce as well as YARN. It has been here for the longest time since the creation of Hadoop. Cloudera Distribution Hadoop (CDH) has the ability to add new services to a running Hadoop cluster as well as it supports multi cluster management.
2. MapR :
MapR is founded in 2009 by John Schroeder, M.C. Srivas. It is a data platform and a number of data sources can be accessed from a single computer cluster including big data workloads such as Apache Hadoop and Apache Spark, Hive and Drill and more and simultaneously. It performs analytics and applications with speed, scale, and reliability. Big companies like Cisco, Google Cloud Platform and Amazon EMR use MapR Hadoop Distribution for their Hadoop services. MapR Hadoop Distribution (MapRHD) follows distributed architecture for storing metadata on the processing nodes as it depends on a different file system which is known as MapR File System or in short called as MapRFS and does not have a Name Node architecture.
Difference between Cloudera and MapR :
|01.||Cloudera is founded in 2008 by some of the brightest minds from the big data geniuses including Google, Yahoo!, Oracle, and Facebook.||MapR is founded in 2009 by John Schroeder, M.C. Sivas.|
|02.||It is based on open source Apache Hadoop but has added its own proprietary software.||It is a data platform which provides access to a variety of data sources from a single computer cluster including big data workloads such as Apache Hadoop, Hive and Drill, Apache Spark, but it goes far beyond that as well.|
|03.||The management tool of Cloudera is Cloudera Manager.||The management tool of MapR is MapR Control System.|
|04.||Cloudera has no volume support.||MapR has volume support.|
|05.||For disaster recovery and backup it uses regular Backup and Disaster Recovery (BDR) features.||For disaster recovery it uses mirroring features.|
|06.||Cloudera replication allows data to be replicated.||MapR Replication allows data plus metadata to be replicated.|
|07.||Cloudera has centralized metadata architecture.||MapR has distributed metadata architecture.|
|08.||File system access in cloudera is Hadoop Distributed File System (HDFS) and read only NFS.||File system access in MapR is Hadoop Distributed File System (HDFS) and read write NFS (POSIX).|
|09.||It uses Kerberos write level authentication.||It uses Kerberos, Native write level authentication.|
|10.||Cloudera has three editions one is free, another enterprise edition up to 60 days and full enterprise edition.||It has completely enterprise edition.|
|11.||It runs on Hadoop Distributed File System (HDFS).||MAPR runs on MapR File System (MAPRFS).|
Attention reader! Don’t stop learning now. Get hold of all the important CS Theory concepts for SDE interviews with the CS Theory Course at a student-friendly price and become industry ready.