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DBMS > Amazon Aurora vs. Apache Drill vs. Atos Standard Common Repository vs. Hive

System Properties Comparison Amazon Aurora vs. Apache Drill vs. Atos Standard Common Repository vs. Hive

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSDocument store
Relational DBMS
Document store
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­rds/­auroradrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldrill.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonApache Software FoundationAtos Convergence CreatorsApache Software Foundation infoinitially developed by Facebook
Initial release2015201220162012
Current release1.20.3, January 202317033.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinux
OS X
Windows
LinuxAll OS with a Java VM
Data schemeyesschema-freeSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL SELECT statement is SQL:2003 compliantnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
LDAPJDBC
ODBC
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++All languages with LDAP bindingsC++
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsnoyes infouser defined functions and integration of map-reduce
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourceLDAP bind authenticationAccess rights for users, groups and roles

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More resources
Amazon AuroraApache DrillAtos Standard Common RepositoryHive
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