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DBMS > AllegroGraph vs. Cloudflare Workers KV vs. MarkLogic vs. RDF4J vs. SwayDB

System Properties Comparison AllegroGraph vs. Cloudflare Workers KV vs. MarkLogic vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Operational and transactional Enterprise NoSQL databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF storeKey-value store
Secondary database modelsSpatial 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
Score0.32
Rank#283  Overall
#40  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteallegrograph.comwww.cloudflare.com/­developer-platform/­workers-kvwww.marklogic.comrdf4j.orgswaydb.simer.au
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldevelopers.cloudflare.com/­kv/­apidocs.marklogic.comrdf4j.org/­documentation
DeveloperFranz Inc.CloudflareMarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer Plaha
Initial release20042018200120042018
Current release8.0, December 202311.0, December 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScala
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyes infoRDF schemasschema-freeschema-free infoSchema can be enforcedyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 possiblenoyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenoyes infoSQL92nono
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP REST
Proprietary protocol
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infovia XQuery or JavaScriptyesno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API usedAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, with Range Indexesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationRole-based access control at the document and subdocument levelsnono
More information provided by the system vendor
AllegroGraphCloudflare Workers KVMarkLogicRDF4J infoformerly known as SesameSwayDB
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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