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

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

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonFatDB  Xexclude from comparisonMemSQL  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 storage
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#165  Overall
#24  Document stores
#14  Graph DBMS
#7  RDF stores
Score5.29
Rank#66  Overall
#35  Relational DBMS
Score1.34
Rank#143  Overall
#71  Relational DBMS
Websiteallegrograph.comwww.memsql.comwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.memsql.com
DeveloperFranz Inc.FatCloudMemSQL Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2004201220131984
Current release7.0, April 20207.1.3, June 20207.3.3.2.0, 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MemSQL Helios: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageC#C++
Server operating systemsLinux
OS X
Windows
WindowsLinux info64 bit version requiredHP Open VMS
Data schemeyes infoRDF schemasschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageno infoVia inetgration in SQL Serveryes, but no triggers and foreign keysyes
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infovia applicationsyes
Triggersyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
Multi-master replication
selectable replication factorMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOnly isolation level: READ COMMITEDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
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-standard
More information provided by the system vendor
AllegroGraphFatDBMemSQLOracle Rdb
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

Bloor Research Covers AllegroGraph with FedShard
5 June 2020

AllegroGraph Tutorial – Distributed Repository Using Shards and Federation Setup
25 May 2020

Advanced Knowledge Graph Visualization with New Gruff v8
12 May 2020

Ubiquitous AI Demands A New Type Of Database Sharding
5 May 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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AllegroGraphFatDBMemSQLOracle Rdb
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