DBMS > 4D vs. BaseX vs. Cloudflare Workers KV vs. H2 vs. IBM Db2 Event Store

System Properties Comparison 4D vs. BaseX vs. Cloudflare Workers KV vs. H2 vs. IBM Db2 Event Store

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

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

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Distributed Event Store optimized for Internet of Things use cases

Primary database model

Event Store
Time Series DBMS

Secondary database models

Spatial DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	1.84
Rank	#135	Overall
	#4	Native XML DBMS

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

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	0.27
Rank	#309	Overall
	#2	Event Stores
	#28	Time Series DBMS

Website

www.4d.com

basex.org

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

www.h2database.com

www.ibm.com/products/db2-event-store

Technical documentation

developer.4d.com

docs.basex.org

developers.cloudflare.com/kv/api

www.h2database.com/html/main.html

www.ibm.com/docs/en/db2-event-store

Developer

4D, Inc

BaseX GmbH

Cloudflare

Thomas Mueller

IBM

Initial release

1984

2007

2018

2005

2017

Current release

v20, April 2023

11.0, June 2024

2.2.220, July 2023

2.0

License

Commercial or Open Source

commercial

Open Source

BSD license

commercial

Open Source

dual-licence (Mozilla public license, Eclipse public license)

commercial

free developer edition available

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

C and C++

Server operating systems

OS X
Windows

Linux
OS X
Windows

hosted

All OS with a Java VM

Linux

Linux, macOS, Windows for the developer addition

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

XQuery supports types

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

yes

close to SQL 92

yes

through the embedded Spark runtime

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

HTTP REST
Proprietary protocol

JDBC
ODBC

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

Supported programming languages

4D proprietary IDE
PHP

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

Java

C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic

Server-side scripts

Stored procedures

yes

Java Stored Procedures and User-Defined Functions

yes

Triggers

yes

via events

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

yes

With clustering: 2 database servers on different computers operate on identical copies of a database

Active-active shard replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

multiple readers, single writer

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

No - written data is immutable

Durability

Support for making data persistent

yes

Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage

In-memory capabilities

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

yes

User concepts

Access control

Users and groups

Users with fine-grained authorization concept on 4 levels

fine grained access rights according to SQL-standard

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