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DBMS > Badger vs. openGauss vs. Tkrzw vs. VictoriaMetrics

System Properties Comparison Badger vs. openGauss vs. Tkrzw vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonopenGauss  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgergitee.com/­opengauss
opengauss.org
dbmx.net/­tkrzwvictoriametrics.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDGraph LabsHuawei and openGauss communityMikio HirabayashiVictoriaMetrics
Initial release2017201920202018
Current release3.0, March 20220.9.3, August 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0Open 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 languageGoC, C++, JavaC++Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesno
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 indexesnoyes
SQL infoSupport of SQLnoANSI SQL 2011nono
APIs and other access methodsJDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGoC
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual 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.nonoyes infousing specific database classesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
BadgeropenGaussTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVictoriaMetrics
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