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DBMS > Badger vs. Cubrid vs. OrigoDB vs. Rockset vs. Solr

System Properties Comparison Badger vs. Cubrid vs. OrigoDB vs. Rockset vs. Solr

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCubrid  Xexclude from comparisonOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS
Document storeSearch engine
Secondary database modelsRelational DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­dgraph-io/­badgercubrid.com (korean)
cubrid.org (english)
origodb.comrockset.comsolr.apache.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercubrid.org/­manualsorigodb.com/­docsdocs.rockset.comsolr.apache.org/­resources.html
DeveloperDGraph LabsCUBRID Corporation, CUBRID FoundationRobert Friberg et alRocksetApache Software Foundation
Initial release201720082009 infounder the name LiveDB20192006
Current release11.0, January 20219.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++, JavaC#C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsdynamic typingyes infosupports customizable data types and automatic typing
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 infocan be achieved using .NETno infoingestion from XML files supportedyes
Secondary indexesnoyesyesall fields are automatically indexedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesnoRead-only SQL queries, including JOINsSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
HTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesGoC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.NetGo
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored ProceduresyesnoJava plugins
Triggersnoyesyes infoDomain Eventsnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole based authorizationAccess rights for users and organizations can be defined via Rockset consoleyes

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More resources
BadgerCubridOrigoDBRocksetSolr
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