DBMS > Cubrid vs. GeoMesa vs. Hazelcast vs. MySQL vs. SpatiaLite

System Properties Comparison Cubrid vs. GeoMesa vs. Hazelcast vs. MySQL vs. SpatiaLite

Editorial information provided by DB-Engines

Name

Description

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

A widely adopted in-memory data grid

Widely used open source RDBMS

Spatial extension of SQLite

Primary database model

Key/Value like access via memcached API

Spatial DBMS

Secondary database models

Document store

JSON support with IMDG 3.12

Document store
Spatial DBMS

Relational DBMS

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Trend Chart

Score	1.04
Rank	#187	Overall
	#87	Relational DBMS

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	5.46
Rank	#61	Overall
	#7	Key-value stores

Score	1061.34
Rank	#2	Overall
	#2	Relational DBMS

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

cubrid.com (korean)
cubrid.org (english)

www.geomesa.org

hazelcast.com

www.mysql.com

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

cubrid.org/manuals

www.geomesa.org/documentation/stable/user/index.html

hazelcast.org/imdg/docs

dev.mysql.com/doc

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

CUBRID Corporation, CUBRID Foundation

CCRi and others

Hazelcast

Oracle

since 2010, originally MySQL AB, then Sun

Alessandro Furieri

Initial release

2008

2014

2008

1995

2008

Current release

11.0, January 2021

5.0.0, May 2024

5.3.6, November 2023

8.4.0, April 2024

5.0.0, August 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache License 2.0

Open Source

Apache Version 2; commercial licenses available

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

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Implementation language

C, C++, Java

Scala

Java

C and C++

C++

Server operating systems

Linux
Windows

All OS with a Java VM

FreeBSD
Linux
OS X
Solaris
Windows

server-less

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

the object must implement a serialization strategy

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

yes

with proprietary extensions

yes

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB

JCache
JPA
Memcached protocol
RESTful HTTP API

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Event Listeners, Executor Services

yes

proprietary syntax

Triggers

yes

Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

depending on storage layer

Sharding

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

depending on storage layer

yes

Replicated Map

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

one or two-phase-commit; repeatable reads; read commited

ACID

not for MyISAM storage engine

ACID

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

depending on storage layer

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

depending on the DBMS used for storage

Role-based access control

Users with fine-grained authorization concept

no user groups or roles

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