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DBMS > Amazon Aurora vs. Apache Impala vs. BoltDB vs. Hive

System Properties Comparison Amazon Aurora vs. Apache Impala vs. BoltDB vs. Hive

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonHive  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopAn embedded key-value store for Go.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orggithub.com/­boltdb/­bolthive.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoinitially developed by Facebook
Initial release2015201320132012
Current release4.1.0, June 20223.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoMIT LicenseOpen 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 languageC++GoJava
Server operating systemshostedLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
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
All languages supporting JDBC/ODBCGoC++
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyes infouser defined functions and integration of map-reduce
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users, groups and roles

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More resources
Amazon AuroraApache ImpalaBoltDBHive
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