DBMS > Graph Engine vs. Memcached vs. STSdb vs. SWC-DB vs. Valentina Server

System Properties Comparison Graph Engine vs. Memcached vs. STSdb vs. SWC-DB vs. Valentina Server

Editorial information provided by DB-Engines

Name

Description

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

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

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

A high performance, scalable Wide Column DBMS

Object-relational database and reports server

Primary database model

Graph DBMS
Key-value store

Key-value store

Wide column store

Relational DBMS

Secondary database models

Time Series DBMS

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

Score	0.59
Rank	#235	Overall
	#21	Graph DBMS
	#33	Key-value stores

Score	16.99
Rank	#32	Overall
	#4	Key-value stores

Score	0.03
Rank	#362	Overall
	#55	Key-value stores

Score	0.01
Rank	#375	Overall
	#13	Wide column stores

Score	0.16
Rank	#319	Overall
	#144	Relational DBMS

Website

www.graphengine.io

www.memcached.org

github.com/STSSoft/STSdb4

github.com/kashirin-alex/swc-db
www.swcdb.org

www.valentina-db.net

Technical documentation

www.graphengine.io/docs/manual

github.com/memcached/memcached/wiki

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Microsoft

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

STS Soft SC

Alex Kashirin

Paradigma Software

Initial release

2010

2003

2011

2020

1999

Current release

1.6.29, June 2024

4.0.8, September 2015

0.5, April 2021

5.7.5

License

Commercial or Open Source

Open Source

MIT License

Open Source

BSD license

Open Source

GPLv2, commercial license available

Open Source

GPL V3

commercial

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

.NET and C

C++

Server operating systems

.NET

FreeBSD
Linux
OS X
Unix
Windows

Windows

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

SQL-like query language

yes

APIs and other access methods

RESTful HTTP API

Proprietary protocol

.NET Client API

Proprietary protocol
Thrift

ODBC

Supported programming languages

C#
C++
F#
Visual Basic

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

C#
Java

C++

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Repcached, a Memcached patch, provides this functionallity

none

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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

yes

using SASL (Simple Authentication and Security Layer) protocol

fine grained access rights according to SQL-standard

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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

show all

Recent citations in the news

Trinity
30 October 2010, Microsoft

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

Graph databases are hot, but can they break relational’s grip?
2 December 2017, SiliconANGLE News

How Google and Microsoft taught search to “understand” the Web
6 June 2012, Ars Technica

thatDot launches Quine, a streaming graph engine
23 February 2022, TechCrunch

provided by Google News

Using memcached with Python
22 October 2024, Packt Hub

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6 November 2024, The New Stack

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12 January 2024, AWS Blog

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7 August 2024, Phoronix

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11 October 2024, InfoQ.com

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17 December 2022, Ozarks Sports Zone

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