DBMS > Cloudflare Workers KV vs. EJDB

System Properties Comparison Cloudflare Workers KV vs. EJDB

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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.

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Primary database model

Key-value store

Document store

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

Score	0.32
Rank	#274	Overall
	#40	Key-value stores

Score	0.12
Rank	#339	Overall
	#47	Document stores

Website

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

github.com/Softmotions/ejdb

Technical documentation

developers.cloudflare.com/kv/api

github.com/Softmotions/ejdb/blob/master/README.md

Developer

Cloudflare

Softmotions

Initial release

2018

2012

License

Commercial or Open Source

commercial

Open Source

GPLv2

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

hosted

server-less

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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

SQL

Support of SQL

APIs and other access methods

HTTP REST
Proprietary protocol

in-process shared library

Supported programming languages

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

Server-side scripts

Stored procedures

Triggers

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

typically not needed, however similar functionality with collection joins possible

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

Durability

Support for making data persistent

yes

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

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provided by Google News

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