DBMS > Cloudflare Workers KV vs. GBase vs. GeoSpock vs. Oracle Coherence

System Properties Comparison Cloudflare Workers KV vs. GBase vs. GeoSpock vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

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

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Spatial and temporal data processing engine for extreme data scale

Oracles in-memory data grid solution

Primary database model

Key-value store

Relational DBMS

Key-value store

Secondary database models

Time Series DBMS

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

Score	0.29
Rank	#283	Overall
	#40	Key-value stores

Score	1.11
Rank	#173	Overall
	#78	Relational DBMS

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Website

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

www.gbase.cn

geospock.com

www.oracle.com/java/coherence

Technical documentation

developers.cloudflare.com/kv/api

docs.oracle.com/en/middleware/standalone/coherence

Developer

Cloudflare

General Data Technology Co., Ltd.

GeoSpock

Oracle

Initial release

2018

2004

2007

Current release

GBase 8a, GBase 8s, GBase 8c

2.0, September 2019

14.1, August 2023

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C, Java, Python

Java, Javascript

Java

Server operating systems

hosted

Linux

hosted

All OS with a Java VM

Data scheme

schema-free

yes

schema-free

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.

yes

Secondary indexes

yes

temporal, categorical

SQL

Support of SQL

Standard with numerous extensions

ANSI SQL for query only (using Presto)

APIs and other access methods

HTTP REST
Proprietary protocol

ADO.NET
C API
JDBC
ODBC

JDBC

JCache
JPA
RESTful HTTP API

Supported programming languages

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

.Net
C++
Java

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Automatic sharding

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

In-memory capabilities

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

yes

User concepts

Access control

yes

Access rights for users can be defined per table

authentification to access the cache via certificates or http basic authentication

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More resources

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