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DBMS > Amazon Aurora vs. Apache Druid vs. Badger vs. IBM Cloudant vs. openGauss

System Properties Comparison Amazon Aurora vs. Apache Druid vs. Badger vs. IBM Cloudant vs. openGauss

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Database as a Service offering based on Apache CouchDBAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value storeDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.75
Rank#104  Overall
#19  Document stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websiteaws.amazon.com/­rds/­auroradruid.apache.orggithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­cloudantgitee.com/­opengauss
opengauss.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgercloud.ibm.com/­docs/­Cloudantdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAmazonApache Software Foundation and contributorsDGraph LabsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Huawei and openGauss community
Initial release20152012201720102019
Current release29.0.1, April 20243.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoErlangC, C++, Java
Server operating systemshostedLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyesyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.yesnononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL for queryingnonoANSI SQL 2011
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Java
Server-side scripts infoStored proceduresyesnonoView functions (Map-Reduce) in JavaScriptyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basednoneShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononono
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon AuroraApache DruidBadgerIBM CloudantopenGauss
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