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DBMS > Amazon SimpleDB vs. Badger vs. HBase vs. openGauss

System Properties Comparison Amazon SimpleDB vs. Badger vs. HBase vs. openGauss

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBadger  Xexclude from comparisonHBase  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn 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 Huawei
Primary database modelKey-value storeKey-value storeWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
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
Websiteaws.amazon.com/­simpledbgithub.com/­dgraph-io/­badgerhbase.apache.orggitee.com/­opengauss
opengauss.org
Technical documentationdocs.aws.amazon.com/­simpledbgodoc.org/­github.com/­dgraph-io/­badgerhbase.apache.org/­book.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAmazonDGraph LabsApache Software Foundation infoApache top-level project, originally developed by PowersetHuawei and openGauss community
Initial release2007201720082019
Current release2.3.4, January 20213.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC, C++, Java
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenonooptions to bring your own types, AVROyes
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 indexesyes infoAll columns are indexed automaticallynonoyes
SQL infoSupport of SQLnononoANSI SQL 2011
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
GoC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javayes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoSingle 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 controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess 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
Amazon SimpleDBBadgerHBaseopenGauss
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