DBMS > ArcadeDB vs. Cloudflare Workers KV vs. IBM Cloudant vs. ReductStore

System Properties Comparison ArcadeDB vs. Cloudflare Workers KV vs. IBM Cloudant vs. ReductStore

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Editorial information provided by DB-Engines

Name

Description

Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten

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

Database as a Service offering based on Apache CouchDB

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Primary database model

Document store
Graph DBMS
Key-value store
Time Series DBMS

in next version

Key-value store

Document store

Time Series DBMS

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

Score	0.10
Rank	#358	Overall
	#48	Document stores
	#38	Graph DBMS
	#52	Key-value stores
	#35	Time Series DBMS

Score	0.39
Rank	#274	Overall
	#39	Key-value stores

Score	2.75
Rank	#104	Overall
	#19	Document stores

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Website

arcadedb.com

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

www.ibm.com/products/cloudant

github.com/reductstore
www.reduct.store

Technical documentation

docs.arcadedb.com

developers.cloudflare.com/kv/api

cloud.ibm.com/docs/Cloudant

www.reduct.store/docs

Developer

Arcade Data

Cloudflare

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

ReductStore LLC

Initial release

2021

2018

2010

2023

Current release

September 2021

1.9, March 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

Business Source License 1.1

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

Java

Erlang

C++, Rust

Server operating systems

All OS with a Java VM

hosted

Docker
Linux
macOS
Windows

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language, no joins

APIs and other access methods

JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin

HTTP REST
Proprietary protocol

RESTful HTTP/JSON API

HTTP API

Supported programming languages

Java

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

C#
Java
JavaScript
Objective-C
PHP
Ruby

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

relationship in graphs

Transaction concepts

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

ACID

atomic operations within a document possible

Concurrency

Support for concurrent manipulation of data

yes

Optimistic 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

Access rights for users can be defined per database

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