DBMS > H2 vs. Memcached vs. VoltDB

System Properties Comparison H2 vs. Memcached vs. VoltDB

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Editorial information provided by DB-Engines

Name

Description

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

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	7.19
Rank	#48	Overall
	#31	Relational DBMS

Score	14.97
Rank	#35	Overall
	#4	Key-value stores

Score	1.21
Rank	#161	Overall
	#73	Relational DBMS

Website

www.h2database.com

www.memcached.org

www.voltdb.com

Technical documentation

www.h2database.com/html/main.html

github.com/memcached/memcached/wiki

docs.voltdb.com

Developer

Thomas Mueller

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

VoltDB Inc.

Initial release

2005

2003

2010

Current release

2.2.220, July 2023

1.6.29, June 2024

11.3, April 2022

License

Commercial or Open Source

Open Source

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

Open Source

BSD license

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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

Java

Java, C++

Server operating systems

All OS with a Java VM

FreeBSD
Linux
OS X
Unix
Windows

Linux
OS X

for development

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.

Secondary indexes

yes

SQL

Support of SQL

yes

only a subset of SQL 99

APIs and other access methods

JDBC
ODBC

Proprietary protocol

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

Java

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

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

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

none

Repcached, a Memcached patch, provides this functionallity

Multi-source replication
Source-replica replication

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

FOREIGN KEY constraints are not supported

Transaction concepts

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

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

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

yes

using SASL (Simple Authentication and Security Layer) protocol

Users and roles with access to stored procedures

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More resources

DB-Engines blog posts

Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

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Recent citations in the news

Cache vs. Database: Has Performance Converged?
6 November 2024, The New Stack

Use Memcached for Java enterprise performance, Part 1: Architecture and setup
9 July 2024, InfoWorld

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7 August 2024, Phoronix

Memcrashed - Major amplification attacks from UDP port 11211
27 February 2018, The Cloudflare Blog

WordPress Memcached: What It Is and How to Use It
17 August 2023, Themeisle

provided by Google News

VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

VoltDB Announces Key New Hires
26 October 2021, citybiz

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, Information Week

New startup from Postgres creator puts the database at heart of software stack
12 March 2024, TechCrunch

VoltDB Adds Geospatial Support to Its Operational InMemory SQL Database
30 January 2016, App Developer Magazine

provided by Google News

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