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DBMS > AllegroGraph vs. Amazon DynamoDB vs. Ehcache vs. Stardog

System Properties Comparison AllegroGraph vs. Amazon DynamoDB vs. Ehcache vs. Stardog

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonEhcache  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHosted, scalable database service by Amazon with the data stored in Amazons cloudA widely adopted Java cache with tiered storage optionsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Key-value storeGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score4.79
Rank#66  Overall
#8  Key-value stores
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websiteallegrograph.comaws.amazon.com/­dynamodbwww.ehcache.orgwww.stardog.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­dynamodbwww.ehcache.org/­documentationdocs.stardog.com
DeveloperFranz Inc.AmazonTerracotta Inc, owned by Software AGStardog-Union
Initial release2004201220092010
Current release8.0, December 20233.10.0, March 20227.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2; commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux
macOS
Windows
Data schemeyes infoRDF schemasschema-freeschema-freeschema-free and OWL/RDFS-schema support
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 infoImport/export of XML data possible
Secondary indexesyesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSPARQL is used as query languagenonoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJCacheGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Java.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes infoby integration with AWS Lambdayes infoCache Event Listenersyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoby using Terracotta ServerMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable Consistency (Strong, Eventual, Weak)Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoACID across one or more tables within a single AWS account and regionyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users and roles
More information provided by the system vendor
AllegroGraphAmazon DynamoDBEhcacheStardog
News

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

Gartner recognized Franz Inc. as a Key Neuro-Symbolic AI Provider in 2024 Hype Cycle for AI
10 September 2024

Next-Generation Cybersecurity: Integrating Knowledge Graphs and Neuro-Symbolic AI with STIX and TAXII
10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Podcast – Gartner AI Hype Cycle – Knowledge Graphs and Neuro-Symbolic AI
24 August 2024

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More resources
AllegroGraphAmazon DynamoDBEhcacheStardog
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