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DBMS > Postgres-XL vs. Tkrzw

System Properties Comparison Postgres-XL vs. Tkrzw

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA 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 DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#216  Overall
#103  Relational DBMS
Score0.00
Rank#357  Overall
#56  Key-value stores
Websitewww.postgres-xl.orgdbmx.net/­tkrzw
Technical documentationwww.postgres-xl.org/­documentation
DeveloperMikio Hirabayashi
Initial release2014 infosince 2012, originally named StormDB2020
Current release10 R1, October 20180.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemsLinux
macOS
Linux
macOS
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.yes infoXML type, but no XML query functionalityno
Secondary indexesyes
SQL infoSupport of SQLyes infodistributed, parallel query executionno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
Postgres-XLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

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