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DBMS > Cloudflare Workers KV vs. GigaSpaces vs. RDFox vs. Teradata Aster vs. Yaacomo

System Properties Comparison Cloudflare Workers KV vs. GigaSpaces vs. RDFox vs. Teradata Aster vs. Yaacomo

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRDFox  Xexclude from comparisonTeradata Aster  Xexclude from comparisonYaacomo  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA 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 enginePlatform for big data analytics on multistructured data sources and typesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.gigaspaces.comwww.oxfordsemantic.techyaacomo.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.gigaspaces.com/­latest/­landing.htmldocs.oxfordsemantic.tech
DeveloperCloudflareGigaspaces TechnologiesOxford Semantic TechnologiesTeradataQ2WEB GmbH
Initial release20182000201720052009
Current release15.5, September 20206.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++
Server operating systemshostedLinux
macOS
Solaris
Windows
Linux
macOS
Windows
LinuxAndroid
Linux
Windows
Data schemeschema-freeschema-freeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nono infoXML can be used for describing objects metadatayes infoin Aster File Storeno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoyesyes
APIs and other access methodsHTTP REST
Proprietary protocol
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
SPARQL 1.1
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C++
Java
Python
Scala
C
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesR packages
Triggersnoyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
replication via a shared file systemyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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.noyesyesnoyes
User concepts infoAccess controlRole-based access controlRoles, resources, and access typesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVGigaSpacesRDFoxTeradata AsterYaacomo
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