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DBMS > EsgynDB vs. Greenplum vs. JSqlDb vs. SQL.JS

System Properties Comparison EsgynDB vs. Greenplum vs. JSqlDb vs. SQL.JS

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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

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database

A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.

JavaScript Query Language Database, stores JavaScript objects and primitives

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Relational DBMS

Document store
Object oriented DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	0.23
Rank	#319	Overall
	#141	Relational DBMS

Score	9.23
Rank	#47	Overall
	#30	Relational DBMS

Score	0.57
Rank	#248	Overall
	#114	Relational DBMS

Website

jsqldb.org (offline)

Technical documentation

docs.greenplum.org

sql.js.org/documentation/index.html

Developer

Esgyn

Pivotal Software Inc.

Konrad von Backstrom

Alon Zakai

enhancements implemented by others

Initial release

2015

2005

2018

2012

Current release

7.0.0, September 2023

0.8, December 2018

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++, Java

JavaScript

Server operating systems

Linux

Linux

Linux
macOS
Windows

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

yes

no

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.

no

yes

since Version 4.2

no

no

Secondary indexes

yes

yes

no

SQL

Support of SQL

yes

yes

no

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
ODBC

JavaScript API

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

C
Java
Perl
Python
R

JavaScript

JavaScript

Server-side scripts

Stored procedures

Java Stored Procedures

yes

functions in JavaScript

no

Triggers

no

yes

no

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

Source-replica replication

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

yes

yes

no

yes

Transaction concepts

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

ACID

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Durability

Support for making data persistent

yes

yes

yes

using RocksDB

no

except by serializing a db to a file

In-memory capabilities

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

no

no

yes

User concepts

Access control

fine grained access rights according to SQL-standard

fine grained access rights according to SQL-standard

no

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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