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Comparison Hadoop Hortonworks AWS Data Lake
 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 --