DBMS > Derby vs. Greenplum vs. IBM Cloudant vs. STSdb

System Properties Comparison Derby vs. Greenplum vs. IBM Cloudant vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

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.

Database as a Service offering based on Apache CouchDB

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Relational DBMS

Document store

Key-value store

Secondary database models

Document store
Spatial DBMS

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

Score	4.71
Rank	#69	Overall
	#37	Relational DBMS

Score	8.37
Rank	#48	Overall
	#30	Relational DBMS

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	0.04
Rank	#360	Overall
	#52	Key-value stores

Website

db.apache.org/derby

greenplum.org

www.ibm.com/products/cloudant

github.com/STSSoft/STSdb4

Technical documentation

db.apache.org/derby/manuals/index.html

docs.greenplum.org

cloud.ibm.com/docs/Cloudant

Developer

Apache Software Foundation

Pivotal Software Inc.

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

STS Soft SC

Initial release

1997

2005

2010

2011

Current release

10.17.1.0, November 2023

7.0.0, September 2023

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache 2.0

commercial

Open Source

GPLv2, commercial license available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Erlang

Server operating systems

All OS with a Java VM

Linux

hosted

Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

APIs and other access methods

JDBC

JDBC
ODBC

RESTful HTTP/JSON API

.NET Client API

Supported programming languages

Java

C
Java
Perl
Python
R

C#
Java
JavaScript
Objective-C
PHP
Ruby

C#
Java

Server-side scripts

Stored procedures

Java Stored Procedures

yes

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a document possible

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

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

Access rights for users can be defined per database

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