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DBMS > Amazon Aurora vs. EventStoreDB vs. Hypertable vs. KairosDB vs. Valentina Server

System Properties Comparison Amazon Aurora vs. EventStoreDB vs. Hypertable vs. KairosDB vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHypertable  Xexclude from comparisonKairosDB  Xexclude from comparisonValentina Server  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonIndustrial-strength, open-source database solution built from the ground up for event sourcing.An open source BigTable implementation based on distributed file systems such as HadoopDistributed Time Series DBMS based on Cassandra or H2Object-relational database and reports server
Primary database modelRelational DBMSEvent StoreWide column storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Score0.60
Rank#238  Overall
#20  Time Series DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.eventstore.comgithub.com/­kairosdb/­kairosdbwww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldevelopers.eventstore.comkairosdb.github.iovalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonEvent Store LimitedHypertable Inc.Paradigma Software
Initial release20152012200920131999
Current release21.2, February 20210.9.8.11, March 20161.2.2, November 20185.7.5
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
C++ API
Thrift
Graphite protocol
HTTP REST
Telnet API
ODBC
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
Java
JavaScript infoNode.js
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnonoyes
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple password-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon AuroraEventStoreDBHypertableKairosDBValentina Server
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