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Comparison Hadoop Hortonworks Hadoop MapR
 Name Hortonworks MapR
 Version HDP v3.0 Version 6.1
 Drawbacks -- MapR has done lot of fork on top of Apache products. They even have a MapR filesystem which makes the product quite far from the original apache hadoop distribution.
 Advantages -- --
 Languages Supported Java Python Java Python
 Website www.hortonworks.com www.mapr.com
 XML Support no no
 JSON Support yes yes
 Brief description Hortonworks has three interoperable product lines: HDP (based on Apache Hadoop Apache Hive Apache Spark) HDF (based on Apache NiFi Apache Storm, Apache Kafka), and Data Plane Services (based on Apache Atlas and Cloudbreak MapR provides access to a variety of data sources from a single computer cluster including big data workloads such as Apache Hadoop Apache Spark and a distributed file system called MapRFS.
 Database Model Hadoop File System (HDFS) Hadoop File System (HDFS)
 Technical Documentation https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.5/index.html https://mapr.com/docs/61/
 License Commercial Commercial
 Cloud-based / SaaS Not Available https://mapr.com/products/orbit-cloud/
 Implementation Language NA NA
 Operating System Supported Linux Linux
 Options for Integration / Access API Restful HTTP Restful HTTP
 Consistency NA NA
 Foreign Keys Not but you can join two files using Hive and Impala Not but you can join two files using Hive and Impala
 Streaming Support Yes Yes
 Analytics Support Using Mlib in Apache Spark Using Mlib in Apache Spark
 Data Storage Schema Hadoop File System (HDFS) Hadoop File System (HDFS)
 Notable Users hotels.com hilton.com Dun & Bradstreet AoL
 Key Differentiator More suited for platforms based on windows. Azure has a big partnership with hortonworks. NA
 Concurrency Yes Yes
 Partitioning Yes Yes
 Replication Yes Yes
 Secondary Indexes Yes in HBase. Datawarehouse using cloudera is generally built using Hbase. Hbase has secondary indexes Yes in HBase. Datawarehouse using cloudera is generally built using Hbase. Hbase has secondary indexes
 SchemaLess Yes Yes
 SQL Query No. HiveQL similar to SQL can be used withHive No. HiveQL similar to SQL can be used withHive