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DBMS > Badger vs. EXASOL vs. Tkrzw vs. VictoriaMetrics

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEXASOL  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.A 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.exasol.comdbmx.net/­tkrzwvictoriametrics.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.exasol.com/­resourcesdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDGraph LabsExasolMikio HirabayashiVictoriaMetrics
Initial release2017200020202018
Current release0.9.3, August 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen 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++Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
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 SQLnoyesnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGoJava
Lua
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
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.noyesyes infousing specific database classesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
BadgerEXASOLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVictoriaMetrics
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