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DBMS > Badger vs. openGauss vs. SWC-DB

System Properties Comparison Badger vs. openGauss vs. SWC-DB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonopenGauss  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 high performance, scalable Wide Column DBMS
Primary database modelKey-value storeRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#300  Overall
#43  Key-value stores
Score1.09
Rank#174  Overall
#79  Relational DBMS
Score0.01
Rank#382  Overall
#13  Wide column stores
Websitegithub.com/­dgraph-io/­badgergitee.com/­opengauss
opengauss.org
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperDGraph LabsHuawei and openGauss communityAlex Kashirin
Initial release201720192020
Current release3.0, March 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++, JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes
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.nonono
Secondary indexesnoyes
SQL infoSupport of SQLnoANSI SQL 2011SQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesGoC
C++
Java
C++
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgeropenGaussSWC-DB infoSuper Wide Column Database
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