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DBMS > Badger vs. BaseX vs. Cubrid vs. Spark SQL

System Properties Comparison Badger vs. BaseX vs. Cubrid vs. Spark SQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBaseX  Xexclude from comparisonCubrid  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeNative XML DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbasex.orgcubrid.com (korean)
cubrid.org (english)
spark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.basex.orgcubrid.org/­manualsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsBaseX GmbHCUBRID Corporation, CUBRID FoundationApache Software Foundation
Initial release2017200720082014
Current release11.0, June 202411.0, January 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC, C++, JavaScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenono infoXQuery supports typesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesGoActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresno
Triggersnoyes infovia eventsyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACIDno
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.nonono
User concepts infoAccess controlnoUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardno

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More resources
BadgerBaseXCubridSpark SQL
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