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22nd September 2020, Tuesday
 
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Comparison AWS Data Lake 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