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DBMS > AllegroGraph vs. Graph Engine vs. VoltDB

System Properties Comparison AllegroGraph vs. Graph Engine vs. VoltDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#162  Overall
#23  Document stores
#12  Graph DBMS
#6  RDF stores
Score0.56
Rank#198  Overall
#16  Graph DBMS
#33  Key-value stores
Score1.78
Rank#119  Overall
#59  Relational DBMS
Websitefranz.com/­agraph/­allegrographwww.graphengine.iowww.voltdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.graphengine.io/­docs/­manualdocs.voltdb.com
DeveloperFranz Inc.MicrosoftVoltDB Inc.
Initial release200420102010
Current release6.6.0, August 20199.0, April 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoMIT LicenseOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJava, C++
Server operating systemsLinux
OS X
Windows
.NETLinux
OS X infofor development
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 possibleno
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
F#
Visual Basic
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesJava
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
Multi-master replication
Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers and roles with access to stored procedures
More information provided by the system vendor
AllegroGraphGraph Engine infoformer name: TrinityVoltDB
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

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

AllegroGraph News - November 2017
2 November 2017

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More resources
AllegroGraphGraph Engine infoformer name: TrinityVoltDB
Recent citations in the news

Franz launches AllegroGraph Knowledge Graph solution
12 June 2019, KMWorld Magazine

Knowledge graphs take the stage at KMWorld 2019
8 November 2019, KMWorld Magazine

Graph Database 'Shapes' Data
16 August 2019, Datanami

Franz Updates AllegroGraph with the Ability to Ingest JSON and JSON-LD Documents
4 March 2019, Database Trends and Applications

Graph Database Market 2019 Status Analysis : triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
16 October 2019, News Adopt

provided by Google News

Hey, corporate types. Microsoft would really love to pick your brains about Project Cortex
5 November 2019, The Register

Practical advice for SAP Business Suite customers facing 2025 end of life
7 November 2019, Diginomica

Love lambda, love Microsoft's Graph Engine. But you fly alone
20 February 2017, The Register

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

Microsoft quietly delivers first preview of Graph Engine
15 May 2015, ZDNet

provided by Google News

VoltDB Secures $10 Million in Series C Funding to Meet Demand for 5G Data Requirements
23 October 2019, PRNewswire

Company of the week: VoltDB
25 October 2019, PitchBook News & Analysis

VoltDB Raises $10M in Series C Funding
23 October 2019, FinSMEs

RDBMS Software Market Report 2019: Acute Analysis of Global Demand and Supply 2024 with Major Key Player: Cubrid, TmaxSoft, SQLite, Oracle, Microsoft, VoltDB & more
12 November 2019, Eastlake Times

Future Trends & Demands for RDBMS Software Market 2019 | Growth, Opportunities & Forecast To 2026 |Top Market Players: Cubrid, TmaxSoft, SQLite, Oracle, Microsoft & More
13 November 2019, Market Expert

provided by Google News

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