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DBMS > Amazon Aurora vs. KairosDB vs. Kingbase vs. LevelDB vs. Tkrzw

System Properties Comparison Amazon Aurora vs. KairosDB vs. Kingbase vs. LevelDB vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonKairosDB  Xexclude from comparisonKingbase  Xexclude from comparisonLevelDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDistributed Time Series DBMS based on Cassandra or H2An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­rds/­auroragithub.com/­kairosdb/­kairosdbwww.kingbase.com.cngithub.com/­google/­leveldbdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlkairosdb.github.iogithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperAmazonBeiJing KINGBASE Information technologies inc.GoogleMikio Hirabayashi
Initial release20152013199920112020
Current release1.2.2, November 2018V8.0, August 20211.23, February 20210.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaC++C++
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.yesnoyesnono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoStandard with numerous extensionsnono
APIs and other access methodsADO.NET
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
JavaScript infoNode.js
PHP
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functionsnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on Cassandrahorizontal partitioning (by range, list and hash) and vertical partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlfine grained access rights according to SQL-standardnono

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More resources
Amazon AuroraKairosDBKingbaseLevelDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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