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DBMS > AllegroGraph vs. Amazon SimpleDB vs. FoundationDB vs. Kinetica vs. Yaacomo

System Properties Comparison AllegroGraph vs. Amazon SimpleDB vs. FoundationDB vs. Kinetica vs. Yaacomo

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonKinetica  Xexclude from comparisonYaacomo  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreOrdered key-value store. Core features are complimented by layers.Fully vectorized database across both GPUs and CPUsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websiteallegrograph.comaws.amazon.com/­simpledbgithub.com/­apple/­foundationdbwww.kinetica.comyaacomo.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­simpledbapple.github.io/­foundationdbdocs.kinetica.com
DeveloperFranz Inc.AmazonFoundationDBKineticaQ2WEB GmbH
Initial release20042007201320122009
Current release8.0, December 20236.2.28, November 20207.1, August 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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
hostedLinux
OS X
Windows
LinuxAndroid
Linux
Windows
Data schemeyes infoRDF schemasschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesnono infosome layers support typingyesyes
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 indexesyesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenosupported in specific SQL layer onlySQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoin SQL-layer onlyuser defined functions
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoSharding must be implemented in the applicationShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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
Linearizable consistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
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 on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphAmazon SimpleDBFoundationDBKineticaYaacomo
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
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