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DBMS > Badger vs. Cubrid vs. Hawkular Metrics vs. Tkrzw

System Properties Comparison Badger vs. Cubrid vs. Hawkular Metrics vs. Tkrzw

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCubrid  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A 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 modelKey-value storeRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­dgraph-io/­badgercubrid.com (korean)
cubrid.org (english)
www.hawkular.orgdbmx.net/­tkrzw
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercubrid.org/­manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDGraph LabsCUBRID Corporation, CUBRID FoundationCommunity supported by Red HatMikio Hirabayashi
Initial release2017200820142020
Current release11.0, January 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++, JavaJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
HTTP REST
Supported programming languagesGoC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersnoyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.nononoyes infousing specific database classes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnono

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BadgerCubridHawkular MetricsTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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