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DBMS > Amazon Aurora vs. Geode vs. Hive

System Properties Comparison Amazon Aurora vs. Geode vs. Hive

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonGeode  Xexclude from comparisonHive  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSKey-value storeRelational 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
Score1.92
Rank#131  Overall
#23  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorageode.apache.orghive.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgeode.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation infoinitially developed by Facebook
Initial release201520022012
Current release1.1, February 20173.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VM
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query language (OQL)SQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
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
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infouser defined functions and integration of map-reduce
Triggersyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users, groups and roles

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More resources
Amazon AuroraGeodeHive
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