DBMS > Drizzle vs. GBase vs. H2 vs. Memcached

System Properties Comparison Drizzle vs. GBase vs. H2 vs. Memcached

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

In-memory key-value store, originally intended for caching

Primary database model

Relational DBMS

Key-value store

Secondary database models

Spatial DBMS

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

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	18.08
Rank	#32	Overall
	#4	Key-value stores

Website

www.gbase.cn

www.h2database.com

www.memcached.org

Technical documentation

www.h2database.com/html/main.html

github.com/memcached/memcached/wiki

Developer

Drizzle project, originally started by Brian Aker

General Data Technology Co., Ltd.

Thomas Mueller

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Initial release

2008

2004

2005

2003

Current release

7.2.4, September 2012

GBase 8a, GBase 8s, GBase 8c

2.2.220, July 2023

1.6.27, May 2024

License

Commercial or Open Source

Open Source

GNU GPL

commercial

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

BSD license

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.

Implementation language

C++

C, Java, Python

Java

Server operating systems

FreeBSD
Linux
OS X

Linux

All OS with a Java VM

FreeBSD
Linux
OS X
Unix
Windows

Data scheme

yes

schema-free

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

with proprietary extensions

Standard with numerous extensions

yes

APIs and other access methods

JDBC

ADO.NET
C API
JDBC
ODBC

JDBC
ODBC

Proprietary protocol

Supported programming languages

C
C++
Java
PHP

Java

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

Java Stored Procedures and User-Defined Functions

Triggers

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning (by range, list and hash) and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

With clustering: 2 database servers on different computers operate on identical copies of a database

none

Repcached, a Memcached patch, provides this functionallity

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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.

yes

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

yes

fine grained access rights according to SQL-standard

yes

using SASL (Simple Authentication and Security Layer) protocol

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More resources

DB-Engines blog posts

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1 April 2015, Paul Andlinger

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3 February 2014, Matthias Gelbmann

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3 October 2012, Matthias Gelbmann, Paul Andlinger

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