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DBMS > Apache Kylin vs. Cloudflare Workers KV vs. GridDB vs. OrientDB vs. RDFox

System Properties Comparison Apache Kylin vs. Cloudflare Workers KV vs. GridDB vs. OrientDB vs. RDFox

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGridDB  Xexclude from comparisonOrientDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Scalable in-memory time series database optimized for IoT and Big DataMulti-model DBMS (Document, Graph, Key/Value)High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSKey-value storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Graph DBMS
RDF store
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitekylin.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvgriddb.netorientdb.orgwww.oxfordsemantic.tech
Technical documentationkylin.apache.org/­docsdevelopers.cloudflare.com/­kv/­apidocs.griddb.netwww.orientdb.com/­docs/­last/­index.htmldocs.oxfordsemantic.tech
DeveloperApache Software Foundation, originally contributed from eBay IncCloudflareToshiba CorporationOrientDB LTD; CallidusCloud; SAPOxford Semantic Technologies
Initial release20152018201320102017
Current release3.1.0, July 20205.1, August 20223.2.29, March 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache version 2commercial
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 languageJavaC++JavaC++
Server operating systemsLinuxhostedLinuxAll OS with a Java JDK (>= JDK 6)Linux
macOS
Windows
Data schemeyesschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language, no joinsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Proprietary protocol
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
Java
Server-side scripts infoStored proceduresnonoJava, Javascript
TriggersnoyesHooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACID
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.nonoyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and roles; record level security configurableRoles, resources, and access types
More information provided by the system vendor
Apache KylinCloudflare Workers KVGridDBOrientDBRDFox
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache KylinCloudflare Workers KVGridDBOrientDBRDFox
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