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DBMS > Amazon Aurora vs. EsgynDB vs. RethinkDB vs. Tkrzw vs. Warp 10

System Properties Comparison Amazon Aurora vs. EsgynDB vs. RethinkDB vs. Tkrzw vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEsgynDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDBMS for the Web with a mechanism to push updated query results to applications in realtime.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.esgyn.cnrethinkdb.comdbmx.net/­tkrzwwww.warp10.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlrethinkdb.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperAmazonEsgynThe Linux Foundation infosince July 2017Mikio HirabayashiSenX
Initial release20152015200920202015
Current release2.4.1, August 20200.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++C++Java
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometrynoyes
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.yesnononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.NetC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesJava Stored Proceduresnoyes infoWarpScript
TriggersyesnoClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding inforange basednoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersSource-replica replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
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 infousing specific database classesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousers and table-level permissionsnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon AuroraEsgynDBRethinkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWarp 10
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