DBMS > Apache IoTDB vs. dBASE vs. Fujitsu Enterprise Postgres

System Properties Comparison Apache IoTDB vs. dBASE vs. Fujitsu Enterprise Postgres

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink

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.

Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.

Primary database model

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.41
Rank	#151	Overall
	#14	Time Series DBMS

Score	8.32
Rank	#43	Overall
	#27	Relational DBMS

Score	0.24
Rank	#297	Overall
	#134	Relational DBMS

Website

iotdb.apache.org

www.dbase.com

www.postgres.global.fujitsu.com

Technical documentation

iotdb.apache.org/UserGuide/Master/QuickStart/QuickStart.html

www.dbase.com/support/knowledgebase

www.postgres.global.fujitsu.com/product-manuals

Developer

Apache Software Foundation

Asthon Tate

Fujitsu Limited

Initial release

2018

1979

Current release

1.1.0, April 2023

dBASE 2019, 2019

Fujitsu Enterprise Postgres 16, May 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

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

Java

Server operating systems

All OS with a Java VM (>= 1.8)

DOS

dBase Classic
Windows

dBase Pro

Linux
Windows

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC
Native API

none

The IDE can access other DBMS or ODBC-sources.

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

C
C#
C++
Go
Java
Python
Scala

dBase proprietary IDE

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

yes

The IDE can access stored procedures in other database systems.

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by time range) + vertical partitioning (by deviceId)

none

partitioning by range, list and by hash

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Integration with Hadoop and Spark

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Strong Consistency with Raft

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

User concepts

Access control

yes

Access rights for users and roles

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

DB-Engines Ranking coverage expanded to 169 database management systems
3 June 2013, Paul Andlinger

show all

Recent citations in the news

TsFile: A Standard Format for IoT Time Series Data
27 February 2024, The New Stack

Intel Core Ultra 9 285K "Arrow Lake" Delivers Strong Linux Performance Review
24 October 2024, Phoronix

AMD EPYC 9755 DDR5-4800 vs. DDR5-6000 Memory Performance
14 October 2024, Phoronix

AMD Debuts EPYC 8004 Series CPUs For Power-Efficient Intelligent Edge Solutions
18 September 2023, Hot Hardware

Top 10 Apache projects in 2021, from Superset, to NuttX and Pulsar
5 January 2022, The Stack

provided by Google News

Added Namespace and lost all the PHP OOPs Classes
5 November 2018, SitePoint

WFP DBase (Logistics Data, Budgets and Systems Execution) Factsheet (November 2019)
30 November 2019, ReliefWeb

FlytBase & DroneBase partner up to provide fully autonomous Drone-in-a-Box solutions in Italy
14 December 2021, sUAS News

5 ancient software programs we refuse to give up
31 July 2019, PCWorld

What is Microsoft Visual FoxPro (VFP)?
27 April 2022, TechTarget

provided by Google News

Fujitsu recognized as winner of 2023 Microsoft Japan Healthcare & Life Sciences Partner of the Year Award for its cloud-based platform for healthcare sector
28 June 2023, Fujitsu

provided by Google News

Share this page