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DBMS > Cubrid vs. Drizzle vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. mSQL

System Properties Comparison Cubrid vs. Drizzle vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. mSQL

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed Event Store optimized for Internet of Things use casesmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSRelational DBMSDocument storeEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
firebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-storehughestech.com.au/­products/­msql
Technical documentationcubrid.org/­manualsfirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-store
DeveloperCUBRID Corporation, CUBRID FoundationDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014IBMHughes Technologies
Initial release20082008201220171994
Current release11.0, January 20217.2.4, September 20122.04.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialcommercial infofree developer edition availablecommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++C and C++C
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
hostedLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBCAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
PHP
Java
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresnolimited functionality with using 'rules'yesno
Triggersyesno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Active-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistencynone
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableno
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesfine grained access rights according to SQL-standardno

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More resources
CubridDrizzleFirebase Realtime DatabaseIBM Db2 Event StoremSQL infoMini SQL
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