DBMS > GBase vs. Greenplum

System Properties Comparison GBase vs. Greenplum

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Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

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.

Primary database model

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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Trend Chart

Score	1.35
Rank	#152	Overall
	#69	Relational DBMS

Score	7.08
Rank	#48	Overall
	#30	Relational DBMS

Website

www.gbase.cn

greenplum.org

Technical documentation

docs.greenplum.org

Developer

General Data Technology Co., Ltd.

Pivotal Software Inc.

Initial release

2004

2005

Current release

GBase 8a, GBase 8s, GBase 8c

7.0.0, September 2023

License

Commercial or Open Source

commercial

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, Java, Python

Server operating systems

Linux

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

since Version 4.2

Secondary indexes

yes

SQL

Support of SQL

Standard with numerous extensions

yes

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

JDBC
ODBC

Supported programming languages

C
Java
Perl
Python
R

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

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

In-memory capabilities

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

User concepts

Access control

yes

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale
9 September 2019, Amazon Web Services

RSA: EMC integrates Hadoop with Greenplum database
26 February 2013, Data Center Dynamics

Greenplum 6 ventures outside the analytic box
19 March 2019, ZDNET

Fig. 1. High-Level Greenplum Database Architecture
9 September 2018, ResearchGate

EMC and Alpine Data Labs Unveil In-Database Predictive Analytics
11 September 2012, SiliconANGLE

provided by Google News

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