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DBMS > Cubrid vs. EJDB vs. HarperDB vs. Spark SQL vs. Transbase

System Properties Comparison Cubrid vs. EJDB vs. HarperDB vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonEJDB  Xexclude from comparisonHarperDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.55
Rank#248  Overall
#38  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
github.com/­Softmotions/­ejdbwww.harperdb.iospark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationcubrid.org/­manualsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.harperdb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCUBRID Corporation, CUBRID FoundationSoftmotionsHarperDBApache Software FoundationTransaction Software GmbH
Initial release20082012201720141987
Current release11.0, January 20213.1, August 20213.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2commercial infofree community edition availableOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaCNode.jsScalaC and C++
Server operating systemsLinux
Windows
server-lessLinux
OS X
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes infoJSON data 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.nononono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesnoSQL-like data manipulation statementsSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
in-process shared libraryJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresJava Stored ProceduresnoCustom Functions infosince release 3.1noyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneA table resides as a whole on one (or more) nodes in a clusteryes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infothe nodes on which a table resides can be definednoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsnoyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
CubridEJDBHarperDBSpark SQLTransbase
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