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DBMS > AllegroGraph vs. Amazon Aurora vs. EXASOL vs. Hazelcast

System Properties Comparison AllegroGraph vs. Amazon Aurora vs. EXASOL vs. Hazelcast

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonEXASOL  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMySQL and PostgreSQL compatible cloud service by AmazonHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A widely adopted in-memory data grid
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
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
Score8.64
Rank#45  Overall
#28  Relational DBMS
Score3.09
Rank#92  Overall
#45  Relational DBMS
Score8.45
Rank#48  Overall
#6  Key-value stores
Websiteallegrograph.comaws.amazon.com/­rds/­aurorawww.exasol.com/­en/­productshazelcast.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.exasol.com/­en/­community/­resourceshazelcast.org/­imdg/­docs
DeveloperFranz Inc.AmazonExasolHazelcast
Initial release2004201520002008
Current release7.0, April 20204.0, February 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM
Data schemeyes infoRDF schemasyesyesschema-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 possibleyesnoyes infothe object must implement a serialization strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesyesSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Lua
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesuser defined functionsyes infoEvent Listeners, Executor Services
Triggersyesyesyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
Multi-master replication
Master-slave replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardRole-based access control
More information provided by the system vendor
AllegroGraphAmazon AuroraEXASOLHazelcast
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Hazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Hazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» 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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More resources
AllegroGraphAmazon AuroraEXASOLHazelcast
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Recent citations in the news

AllegroGraph Named to 100 Companies That Matter Most in Data
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7 July 2020, KMWorld Magazine

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AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Ubiquitous AI Demands A New Type Of Database Sharding
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Hazelcast raises $50 million to deliver speedy in-memory compute services
11 February 2020, VentureBeat

In-memory Data Grid Market Landscape Assessment By Type, Opportunities and Higher Mortality Rates by 2028
13 July 2020, Cole of Duty

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