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DBMS > Amazon Aurora vs. Geode vs. Greenplum vs. Postgres-XL

System Properties Comparison Amazon Aurora vs. Geode vs. Greenplum vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonGeode  Xexclude from comparisonGreenplum  Xexclude from comparisonPostgres-XL  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 processesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.17
Rank#46  Overall
#28  Relational DBMS
Score1.36
Rank#130  Overall
#23  Key-value stores
Score11.69
Rank#39  Overall
#24  Relational DBMS
Score0.46
Rank#214  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorageode.apache.orgpivotal.io/­pivotal-greenplumwww.postgres-xl.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgeode.apache.org/­docsgpdb.docs.pivotal.iowww.postgres-xl.org/­documentation
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pivotal Software Inc.
Initial release2015200220052014 infosince 2012, originally named StormDB
Current release1.1, February 20176.7.1, April 202010 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosince Version 4.2yes infoXML type, but no XML query functionality
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query language (OQL)yesyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsyesuser defined functions
Triggersyesyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDACID infoMVCC
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.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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Amazon AuroraGeodeGreenplumPostgres-XL
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