DBMS > jBASE vs. JSqlDb vs. Netezza

System Properties Comparison jBASE vs. JSqlDb vs. Netezza

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Editorial information provided by DB-Engines

Name

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

A robust multi-value DBMS comprising development tools and middleware

JavaScript Query Language Database, stores JavaScript objects and primitives

Data warehouse and analytics appliance part of IBM PureSystems

Primary database model

Multivalue DBMS

Document store
Object oriented DBMS

Relational DBMS

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

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Score	8.59
Rank	#45	Overall
	#29	Relational DBMS

Website

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

jsqldb.org (offline)

www.ibm.com/products/netezza

Technical documentation

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

Developer

Rocket Software (formerly Zumasys)

Konrad von Backstrom

IBM

Initial release

1991

2018

2000

Current release

5.7

0.8, December 2018

License

Commercial or Open Source

commercial

Open Source

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Server operating systems

AIX
Linux
Windows

Linux
macOS
Windows

Linux

included in appliance

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

optional

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

Embedded SQL for jBASE in BASIC

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

JDBC
ODBC
OLE DB

Supported programming languages

.Net
Basic
Jabbascript
Java

JavaScript

C
C++
Fortran
Java
Lua
Perl
Python
R

Server-side scripts

Stored procedures

yes

functions in JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using RocksDB

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

Access rights can be defined down to the item level

Users with fine-grained authorization concept

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More resources

Recent citations in the news

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provided by Google News

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