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DBMS > Amazon Aurora vs. GeoSpock vs. Hypertable

System Properties Comparison Amazon Aurora vs. GeoSpock vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonGeoSpock  Xexclude from comparisonHypertable  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonSpatial and temporal data processing engine for extreme data scaleAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSRelational DBMSWide column store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorageospock.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.html
DeveloperAmazonGeoSpockHypertable Inc.
Initial release20152009
Current release2.0, September 20190.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++
Server operating systemshostedhostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyestemporal, categoricalrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)no
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCC++ API
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++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableno

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More resources
Amazon AuroraGeoSpockHypertable
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