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DBMS > Cloudflare Workers KV vs. GraphDB vs. Teradata vs. TinkerGraph

System Properties Comparison Cloudflare Workers KV vs. GraphDB vs. Teradata vs. TinkerGraph

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTeradata  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A hybrid cloud data analytics software platform (Teradata Vantage)A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#278  Overall
#39  Key-value stores
Score3.10
Rank#100  Overall
#7  Graph DBMS
#4  RDF stores
Score47.84
Rank#21  Overall
#15  Relational DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.ontotext.comwww.teradata.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdevelopers.cloudflare.com/­kv/­apigraphdb.ontotext.com/­documentationdocs.teradata.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperCloudflareOntotextTeradata
Initial release2018200019842009
Current release10.4, October 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
hosted
Linux
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesschema-free
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.nonoyesno
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes infoSQL 2016 + extensionsno
APIs and other access methodsHTTP REST
Proprietary protocol
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
TinkerPop 3
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Groovy
Java
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityyes infoUDFs, stored procedures, table functions in parallelno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistencynone
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.fine grained access rights according to SQL-standardno
More information provided by the system vendor
Cloudflare Workers KVGraphDB infoformer name: OWLIMTeradataTinkerGraph
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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