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DBMS > Badger vs. HBase vs. openGauss vs. Transwarp ArgoDB

System Properties Comparison Badger vs. HBase vs. openGauss vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHBase  Xexclude from comparisonopenGauss  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Wide-column store based on Apache Hadoop and on concepts of BigTableAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelKey-value storeWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerhbase.apache.orggitee.com/­opengauss
opengauss.org
www.transwarp.cn/­en/­product/­argodb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhbase.apache.org/­book.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by PowersetHuawei and openGauss communityTranswarp
Initial release201720082019
Current release2.3.4, January 20213.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Sourcecommercial
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 languageGoJavaC, C++, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnonoANSI SQL 2011yes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Supported programming languagesGoC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACID
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.noyesno
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgerHBaseopenGaussTranswarp ArgoDB
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