DBMS > Cloudflare Workers KV vs. FatDB vs. Hyprcubd vs. NuoDB vs. PostGIS

System Properties Comparison Cloudflare Workers KV vs. FatDB vs. Hyprcubd vs. NuoDB vs. PostGIS

Editorial information provided by DB-Engines

Name

FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.

Hyprcubd seems to be discontinued. Therefore it is 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.

A .NET NoSQL DBMS that can integrate with and extend SQL Server.

Serverless Time Series DBMS

NuoDB is a webscale distributed database that supports SQL and ACID transactions

Spatial extension of PostgreSQL

Primary database model

Key-value store

Document store
Key-value store

Time Series DBMS

Relational DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	0.32
Rank	#283	Overall
	#40	Key-value stores

Score	0.89
Rank	#198	Overall
	#92	Relational DBMS

Score	22.69
Rank	#29	Overall
	#1	Spatial DBMS

Website

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

hyprcubd.com (offline)

www.3ds.com/nuodb-distributed-sql-database

postgis.net

Technical documentation

developers.cloudflare.com/kv/api

doc.nuodb.com

postgis.net/documentation

Developer

Cloudflare

FatCloud

Hyprcubd, Inc.

Dassault Systèmes

originally NuoDB, Inc.

Initial release

2018

2012

2013

2005

Current release

3.4.2, February 2024

License

Commercial or Open Source

commercial

limited edition free

Open Source

GPL v2.0

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++

Server operating systems

hosted

Windows

hosted

Amazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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

SQL

Support of SQL

Via inetgration in SQL Server

SQL-like query language

yes

APIs and other access methods

HTTP REST
Proprietary protocol

.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings

gRPC (https)

ADO.NET
JDBC
ODBC

Supported programming languages

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

via applications

Java, SQL

user defined functions

Triggers

yes

via applications

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

data is dynamically stored/cached on the nodes where it is read/written

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

yes

Managed transparently by NuoDB

yes

based on PostgreSQL

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

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

tunable commit protocol

ACID

Concurrency

Support for concurrent manipulation of data

yes

MVCC

yes

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.

yes

Temporary table

User concepts

Access control

Can implement custom security layer via applications

token access

Standard SQL roles/ privileges, Administrative Users

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

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6 April 2021, Matthias Gelbmann

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