DBMS > Cubrid vs. Impala vs. MySQL

System Properties Comparison Cubrid vs. Impala vs. MySQL

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Editorial information provided by DB-Engines

Name

Description

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

Analytic DBMS for Hadoop

Widely used open source RDBMS

Primary database model

Relational DBMS

Key/Value like access via memcached API

Secondary database models

Document store

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.54
Rank	#173	Overall
	#81	Relational DBMS

Score	17.39
Rank	#37	Overall
	#23	Relational DBMS

Score	1126.64
Rank	#2	Overall
	#2	Relational DBMS

Website

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

www.cloudera.com/products/open-source/apache-hadoop/impala.html

www.mysql.com

Technical documentation

cubrid.org/manuals

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

dev.mysql.com/doc

Developer

CUBRID Corporation, CUBRID Foundation

Cloudera

Oracle

since 2010, originally MySQL AB, then Sun

Initial release

2008

2013

1995

Current release

11.0, January 2021

4.1.0, June 2022

8.2.0, October 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache Version 2

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

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Implementation language

C, C++, Java

C++

C and C++

Server operating systems

Linux
Windows

Linux

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

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

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like DML and DDL statements

yes

with proprietary extensions

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB

JDBC
ODBC

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

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

All languages supporting JDBC/ODBC

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

user defined functions and integration of map-reduce

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

selectable replication factor

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

not for MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

Users with fine-grained authorization concept

no user groups or roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

3rd parties

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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

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2 May 2017, Paul Andlinger

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Conferences, events and webinars

more DBMS events

MySQL Enterprise Workshop
Denver, CO, 7 December 2023

MySQL Enterprise Workshop
Austin, TX, 13 December 2023

MySQL HeatWave and Database Day
Austin, TX, 14 December 2023

MySQL Enterprise Workshop
Orlando, FL, 31 January 2024

Recent citations in the news

Cloudera's Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

Unify Your Analytics, and Keep Your Data Where It Suits You - High ...
6 August 2020, insideHPC

provided by Google News

Insert Data into a MySQL Database via a Python Script
26 November 2023, The New Stack

MySQL 8.2 Introduces Transparent Read/Write Splitting
11 November 2023, InfoQ.com

Running MySQL on AWS: Step by Step
15 November 2023, Techzone360

Airbyte Heralds Broad Data Migration with Latest Support for ...
28 November 2023, Database Trends and Applications

Airbyte Announces Certified Connectors for MongoDB, MySQL ...
28 November 2023, Yahoo Finance

provided by Google News

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