DBMS > Cloudflare Workers KV vs. RDF4J

System Properties Comparison Cloudflare Workers KV vs. RDF4J

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Our visitors often compare Cloudflare Workers KV and RDF4J with Redis, PostgreSQL and GraphDB.

Editorial information provided by DB-Engines

Name

Description

A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Key-value store

RDF store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.28
Rank	#285	Overall
	#40	Key-value stores

Score	0.77
Rank	#214	Overall
	#8	RDF stores

Website

www.cloudflare.com/developer-platform/workers-kv

rdf4j.org

Technical documentation

developers.cloudflare.com/kv/api

rdf4j.org/documentation

Developer

Cloudflare

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2018

2004

License

Commercial or Open Source

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

hosted

Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

HTTP REST
Proprietary protocol

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

Java
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

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More resources

Recent citations in the news

We made Workers KV up to 3x faster — here’s the data
26 September 2024, The Cloudflare Blog

Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding
26 September 2024, The Cloudflare Blog

Cloudflare incident on October 30, 2023
1 November 2023, The Cloudflare Blog

Hardening Workers KV
2 August 2023, The Cloudflare Blog

Data Anywhere with Pipelines, Event Notifications, and Workflows
3 April 2024, The Cloudflare Blog

provided by Google News

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