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DBMS > Cubrid vs. EsgynDB vs. mSQL vs. Spark SQL vs. TimescaleDB

System Properties Comparison Cubrid vs. EsgynDB vs. mSQL vs. Spark SQL vs. TimescaleDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonEsgynDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionmSQL (Mini SQL) is a simple and lightweight RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.esgyn.cnhughestech.com.au/­products/­msqlspark.apache.org/­sqlwww.timescale.com
Technical documentationcubrid.org/­manualsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.timescale.com
DeveloperCUBRID Corporation, CUBRID FoundationEsgynHughes TechnologiesApache Software FoundationTimescale
Initial release20082015199420142017
Current release11.0, January 20214.4, October 20213.5.0 ( 2.13), September 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++, JavaCScalaC
Server operating systemsLinux
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonononoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statementsyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C++
Delphi
Java
Perl
PHP
Tcl
Java
Python
R
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored ProceduresJava Stored Proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, utilizing Spark Coreyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersnonenoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.nonononono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
CubridEsgynDBmSQL infoMini SQLSpark SQLTimescaleDB
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