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DBMS > GBase vs. Greenplum vs. Ignite vs. SQL.JS

System Properties Comparison GBase vs. Greenplum vs. Ignite vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

An analytical database for business intelligence with large customers in China.

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.

Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Relational DBMS

Key-value store
Relational DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.04
Rank	#190	Overall
	#88	Relational DBMS

Score	9.23
Rank	#47	Overall
	#30	Relational DBMS

Score	3.64
Rank	#89	Overall
	#13	Key-value stores
	#48	Relational DBMS

Score	0.57
Rank	#248	Overall
	#114	Relational DBMS

Website

ignite.apache.org

Technical documentation

docs.greenplum.org

apacheignite.readme.io/docs

sql.js.org/documentation/index.html

Developer

Pivotal Software Inc.

Apache Software Foundation

Alon Zakai

enhancements implemented by others

Initial release

2005

2015

2012

Current release

GBase 8a

7.0.0, September 2023

Apache Ignite 2.6

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

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, .Net

JavaScript

Server operating systems

Linux

Linux
OS X
Solaris
Windows

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

Data scheme

yes

yes

yes

Typing

predefined data types such as float or date

yes

yes

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

since Version 4.2

yes

no

Secondary indexes

yes

yes

SQL

Support of SQL

yes

ANSI-99 for query and DML statements, subset of DDL

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
ODBC

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

JavaScript API

Supported programming languages

C
Java
Perl
Python
R

C#
C++
Java
PHP
Python
Ruby
Scala

JavaScript

Server-side scripts

Stored procedures

yes

yes (compute grid and cache interceptors can be used instead)

no

Triggers

yes

yes (cache interceptors and events)

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes (replicated cache)

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

yes (compute grid and hadoop accelerator)

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

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

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

yes

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Security Hooks for custom implementations

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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