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DBMS > Badger vs. NSDb vs. SWC-DB vs. YTsaurus

System Properties Comparison Badger vs. NSDb vs. SWC-DB vs. YTsaurus

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonNSDb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high performance, scalable Wide Column DBMSYTsaurus is an open source platform for distributed storage and processing.
Primary database modelKey-value storeTime Series DBMSWide column storeDocument store
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitegithub.com/­dgraph-io/­badgernsdb.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
ytsaurus.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgernsdb.io/­Architectureytsaurus.tech/­docs/­en
DeveloperDGraph LabsAlex KashirinYandex
Initial release2017201720202023
Current release0.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPL V3Open Source infoApache License, 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 languageGoJava, ScalaC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
LinuxUbuntu
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringyes
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 indexesnoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageYQL, an SQL-based language, is supported
APIs and other access methodsgRPC
HTTP REST
WebSocket
Proprietary protocol
Thrift
Supported programming languagesGoJava
Scala
C++C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess Control Lists

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More resources
BadgerNSDbSWC-DB infoSuper Wide Column DatabaseYTsaurus
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