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21st May 2019, Tuesday

 
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Comparison Hadoop Hortonworks
 Name Hortonworks
 Version HDP v3.0
 Drawbacks --
 Advantages --
 Languages Supported Java Python
 Website www.hortonworks.com
 XML Support no
 JSON Support 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
 Database Model Hadoop File System (HDFS)
 Technical Documentation https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.5/index.html
 License Commercial
 Cloud-based / SaaS Not Available
 Implementation Language NA
 Operating System Supported Linux
 Options for Integration / Access API Restful HTTP
 Consistency NA
 Foreign Keys Not but you can join two files using Hive and Impala
 Streaming Support Yes
 Analytics Support Using Mlib in Apache Spark
 Data Storage Schema Hadoop File System (HDFS)
 Notable Users hotels.com hilton.com
 Key Differentiator More suited for platforms based on windows. Azure has a big partnership with hortonworks.
 Concurrency Yes
 Partitioning Yes
 Replication Yes
 Secondary Indexes Yes in HBase. Datawarehouse using cloudera is generally built using Hbase. Hbase has secondary indexes
 SchemaLess Yes
 SQL Query No. HiveQL similar to SQL can be used withHive