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DBMS > Badger vs. Cubrid vs. OrigoDB vs. Rockset vs. Splice Machine

System Properties Comparison Badger vs. Cubrid vs. OrigoDB vs. Rockset vs. Splice Machine

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCubrid  Xexclude from comparisonOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonSplice Machine  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 RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS
Document storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercubrid.com (korean)
cubrid.org (english)
origodb.comrockset.comsplicemachine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercubrid.org/­manualsorigodb.com/­docsdocs.rockset.comsplicemachine.com/­how-it-works
DeveloperDGraph LabsCUBRID Corporation, CUBRID FoundationRobert Friberg et alRocksetSplice Machine
Initial release201720082009 infounder the name LiveDB20192014
Current release11.0, January 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourcecommercialOpen Source infoAGPL 3.0, commercial license available
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
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsdynamic typingyes
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 supported
Secondary indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyesnoRead-only SQL queries, including JOINsyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesGoC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.NetGo
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesnoyes infoJava
Triggersnoyesyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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 consoleAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgerCubridOrigoDBRocksetSplice Machine
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