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DBMS > Amazon Aurora vs. Citus vs. Drizzle vs. GeoSpock vs. jBASE

System Properties Comparison Amazon Aurora vs. Citus vs. Drizzle vs. GeoSpock vs. jBASE

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCitus  Xexclude from comparisonDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonjBASE  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scaleA robust multi-value DBMS comprising development tools and middleware
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsDocument storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websiteaws.amazon.com/­rds/­aurorawww.citusdata.comgeospock.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.citusdata.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAmazonDrizzle project, originally started by Brian AkerGeoSpockRocket Software (formerly Zumasys)
Initial release2015201020081991
Current release8.1, December 20187.2.4, September 20122.0, September 20195.7
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Java, Javascript
Server operating systemshostedLinuxFreeBSD
Linux
OS X
hostedAIX
Linux
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.yesyes infospecific XML type available, but no XML query functionalitynoyes
Secondary indexesyesyesyestemporal, categorical
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsyes infowith proprietary extensionsANSI SQL for query only (using Presto)Embedded SQL for jBASE in BASIC
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
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
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Java
PHP
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoyes
Triggersyesyesno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tableAccess rights can be defined down to the item level

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More resources
Amazon AuroraCitusDrizzleGeoSpockjBASE
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