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

System Properties Comparison Graph Engine vs. Memcached vs. SAP HANA 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

In-memory, column based data store. Available as appliance or cloud service

A high performance, scalable Wide Column DBMS

Object-relational database and reports server

Primary database model

Graph DBMS
Key-value store

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

Time Series DBMS

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

Score	0.67
Rank	#232	Overall
	#21	Graph DBMS
	#34	Key-value stores

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

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Score	0.21
Rank	#325	Overall
	#144	Relational DBMS

Website

www.graphengine.io

www.memcached.org

www.sap.com/products/hana.html

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

help.sap.com/hana

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

Developer

Microsoft

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

SAP

Alex Kashirin

Paradigma Software

Initial release

2010

2003

2010

2020

1999

Current release

1.6.27, May 2024

2.0 SPS07 (April 4, 2023), April 2023

0.5, April 2021

5.7.5

License

Commercial or Open Source

Open Source

MIT License

Open Source

BSD license

commercial

Open Source

GPL V3

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based 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

Appliance or cloud-service

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

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

SQL-like query language

yes

APIs and other access methods

RESTful HTTP API

Proprietary protocol

JDBC
ODBC

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++

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

Server-side scripts

Stored procedures

yes

SQLScript, R

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Repcached, a Memcached patch, provides this functionallity

yes

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

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

yes

fine grained access rights according to SQL-standard

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