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Comparison Amazon EMR Azure Data Lake
 Name AWS EMR Azure Data Lake
 Version Version 4.2.8 NA
 Drawbacks NA NA
 Advantages Manage Hadoop Cluster as plug and play Develop massively parallel programs with simplicity Debug and optimize your big data programs with ease Enterprise-grade security auditing. Start in seconds scale instantly pay per job. Built on YARN and designed for the Microsoft cloud
 Languages Supported Java Python Scala Java Python Scala
 Website aws.amazon.com/rds/aurora/ aws.amazon.com/rds/aurora/
 XML Support no no
 JSON Support yes yes
 Brief description You can launch an Amazon EMR cluster in minutes. There is no need to worry about node provisioning cluster setup Hadoop configuration or cluster tuning. Amazon EMR takes care of these tasks so you can focus on analysis. Azure Data Lake Stores and analyze petabyte-size files and trillions of objects
 Database Model Relational Database Relational Database
 Technical Documentation https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Overview.html https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Overview.html
 License Commercial Commercial
 Cloud-based / SaaS SaaS Service from AWS SaaS Service from AWS
 Implementation Language NA NA
 Operating System Supported Not Applicable as its managed by AWS Not Applicable as its managed by Azure
 Options for Integration / Access API Restful HTTP Restful HTTP
 Consistency NA NA
 Foreign Keys NA NA
 Streaming Support Yes Yes
 Analytics Support NA NA
 Data Storage Schema NA NA
 Notable Users NA NA
 Key Differentiator With EMR we can spin up a hadoop cluster in minutes Azure Data Lake is the most stable of all the out of the box data lake solutions in the market as of sep 2018
 Concurrency Yes Yes
 Partitioning No No
 Replication Yes Yes
 Secondary Indexes Yes based on secondary indexes using Solr Yes based on secondary indexes using Solr
 SchemaLess Yes Yes
 SQL Query NA NA