DBMS > 4D vs. Databend vs. dBASE vs. IBM Db2 Event Store

System Properties Comparison 4D vs. Databend vs. dBASE vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.

Distributed Event Store optimized for Internet of Things use cases

Primary database model

Relational DBMS

Event Store
Time Series DBMS

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

Score	2.37
Rank	#110	Overall
	#54	Relational DBMS

Score	0.28
Rank	#287	Overall
	#131	Relational DBMS

Score	9.16
Rank	#43	Overall
	#27	Relational DBMS

Score	0.18
Rank	#315	Overall
	#2	Event Stores
	#26	Time Series DBMS

Website

www.4d.com

github.com/datafuselabs/databend
www.databend.com

www.dbase.com

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

Technical documentation

developer.4d.com

docs.databend.com

www.dbase.com/support/knowledgebase

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

Developer

4D, Inc

Databend Labs

Asthon Tate

IBM

Initial release

1984

2021

1979

2017

Current release

v20, April 2023

1.0.59, April 2023

dBASE 2019, 2019

2.0

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

free developer edition available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Rust

C and C++

Server operating systems

OS X
Windows

hosted
Linux
macOS

DOS

dBase Classic
Windows

dBase Pro

Linux

Linux, macOS, Windows for the developer addition

Data scheme

yes

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

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

CLI Client
JDBC
RESTful HTTP API

none

The IDE can access other DBMS or ODBC-sources.

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

Supported programming languages

4D proprietary IDE
PHP

Go
Java
JavaScript (Node.js)
Python
Rust

dBase proprietary IDE

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

The IDE can access stored procedures in other database systems.

yes

Triggers

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

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

not for dBase internal data, but IDE does support transactions when accessing external DBMS

Concurrency

Support for concurrent manipulation of data

yes

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, user roles

Access rights for users and roles

fine grained access rights according to SQL-standard

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