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DBMS > AllegroGraph vs. FatDB vs. MemSQL vs. Microsoft Access vs. Oracle Rdb

System Properties Comparison AllegroGraph vs. FatDB vs. MemSQL vs. Microsoft Access vs. Oracle Rdb

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonFatDB  Xexclude from comparisonMemSQL  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Rdb  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA .NET NoSQL DBMS that can integrate with and extend SQL Server.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storageMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#161  Overall
#24  Document stores
#14  Graph DBMS
#7  RDF stores
Score4.23
Rank#70  Overall
#38  Relational DBMS
Score119.90
Rank#10  Overall
#7  Relational DBMS
Score1.00
Rank#147  Overall
#72  Relational DBMS
Websiteallegrograph.comwww.memsql.comproducts.office.com/­en-us/­accesswww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.memsql.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperFranz Inc.FatCloudMemSQL Inc.MicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20042012201319921984
Current release7.0, April 20207.0.16, April 20201902 (16.0.11328.20222), March 20197.3.3.2.0, 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infofree developer edition availablecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++C++
Server operating systemsLinux
OS X
Windows
WindowsLinux info64 bit version requiredWindows infoNot a real database server, but making use of DLLsHP Open VMS
Data schemeyes infoRDF schemasschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infobulk load of XML files possiblenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageno infoVia inetgration in SQL Serveryes, but no triggers and foreign keysyes infobut not compliant to any SQL standardyes
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infovia applicationsyesyes infosince Access 2010 using the ACE-engine
Triggersyesyes infovia applicationsnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
Multi-master replication
selectable replication factorMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency only within each nodeImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOnly isolation level: READ COMMITEDACID infobut no files for transaction loggingyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
AllegroGraphFatDBMemSQLMicrosoft AccessOracle Rdb
Specific characteristicsKnowledge Graph Platform Leader Document Store and Graph Database. Supporting JSON...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

New Blog Posts at AllegroGraph.com/blog
27 March 2020

Triple Attributes
2 May 2018

Allegro "Knowledge" Graph News - March 2018
7 March 2018

AllegroGraph v6.4 - Now Available
23 January 2018

AllegroGraph News - December 2017
20 December 2017

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More resources
AllegroGraphFatDBMemSQLMicrosoft AccessOracle Rdb
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Scalable Knowledge Graphs using the New Distributed AllegroGraph 7
Webinar, 10:00AM Pacific, 5 May 2020 (finished)

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