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DBMS > Postgres-XL vs. RocksDB vs. SiteWhere vs. Tkrzw

System Properties Comparison Postgres-XL vs. RocksDB vs. SiteWhere vs. Tkrzw

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonRocksDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEmbeddable persistent key-value store optimized for fast storage (flash and RAM)M2M integration platform for persisting/querying time series dataA 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 storeTime Series DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.postgres-xl.orgrocksdb.orggithub.com/­sitewhere/­sitewheredbmx.net/­tkrzw
Technical documentationwww.postgres-xl.org/­documentationgithub.com/­facebook/­rocksdb/­wikisitewhere1.sitewhere.io/­index.html
DeveloperFacebook, Inc.SiteWhereMikio Hirabayashi
Initial release2014 infosince 2012, originally named StormDB201320102020
Current release10 R1, October 20189.4.0, June 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMozilla public licenseOpen Source infoBSDOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++JavaC++
Server operating systemsLinux
macOS
LinuxLinux
OS X
Windows
Linux
macOS
Data schemeyesschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 functionalitynonono
Secondary indexesyesnono
SQL infoSupport of SQLyes infodistributed, parallel query executionnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
HTTP REST
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptno

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More resources
Postgres-XLRocksDBSiteWhereTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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