DBMS > Greenplum vs. LeanXcale

System Properties Comparison Greenplum vs. LeanXcale

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Editorial information provided by DB-Engines

Name

Description

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.

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

Primary database model

Relational DBMS

Key-value store
Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	7.08
Rank	#48	Overall
	#30	Relational DBMS

Score	0.25
Rank	#296	Overall
	#43	Key-value stores
	#133	Relational DBMS

Website

greenplum.org

www.leanxcale.com

Technical documentation

docs.greenplum.org

Developer

Pivotal Software Inc.

LeanXcale

Initial release

2005

2015

Current release

7.0.0, September 2023

License

Commercial or Open Source

commercial

Apache 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.

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

yes

through Apache Derby

APIs and other access methods

JDBC
ODBC

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

Supported programming languages

C
Java
Perl
Python
R

C
Java
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

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.

yes

User concepts

Access control

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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