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DBMS > AnzoGraph DB vs. Cloudflare Workers KV vs. GigaSpaces vs. RDFox vs. Yaacomo

System Properties Comparison AnzoGraph DB vs. Cloudflare Workers KV vs. GigaSpaces vs. RDFox vs. Yaacomo

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRDFox  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHigh performance knowledge graph and semantic reasoning engineOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Key-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitecambridgesemantics.com/­anzographwww.cloudflare.com/­developer-platform/­workers-kvwww.gigaspaces.comwww.oxfordsemantic.techyaacomo.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.cloudflare.com/­kv/­apidocs.gigaspaces.com/­latest/­landing.htmldocs.oxfordsemantic.tech
DeveloperCambridge SemanticsCloudflareGigaspaces TechnologiesOxford Semantic TechnologiesQ2WEB GmbH
Initial release20182018200020172009
Current release2.3, January 202115.5, September 20206.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
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 languageJava, C++, .NetC++
Server operating systemsLinuxhostedLinux
macOS
Solaris
Windows
Linux
macOS
Windows
Android
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesnonoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSQL-99 for query and DML statementsnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP REST
Proprietary protocol
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Supported programming languagesC++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C++
Java
Python
Scala
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnonoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
replication via a shared file systemSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesyesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBCloudflare Workers KVGigaSpacesRDFoxYaacomo
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