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DBMS > Amazon Aurora vs. HarperDB vs. LevelDB vs. Tkrzw vs. Trafodion

System Properties Comparison Amazon Aurora vs. HarperDB vs. LevelDB vs. Tkrzw vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHarperDB  Xexclude from comparisonLevelDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.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 CabinetTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument storeKey-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.harperdb.iogithub.com/­google/­leveldbdbmx.net/­tkrzwtrafodion.apache.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.harperdb.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtrafodion.apache.org/­documentation.html
DeveloperAmazonHarperDBGoogleMikio HirabayashiApache Software Foundation, originally developed by HP
Initial release20152017201120202014
Current release3.1, August 20211.23, February 20210.9.3, August 20202.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoBSDOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsC++C++C++, Java
Server operating systemshostedLinux
OS X
Illumos
Linux
OS X
Windows
Linux
macOS
Linux
Data schemeyesdynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnonoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
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
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1nonoJava Stored Procedures
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningA table resides as a whole on one (or more) nodes in a clusternonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definednonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnonofine grained access rights according to SQL-standard

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More resources
Amazon AuroraHarperDBLevelDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTrafodion
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