DBMS > atoti vs. Greenplum vs. Newts vs. Oracle Coherence vs. OushuDB

System Properties Comparison atoti vs. Greenplum vs. Newts vs. Oracle Coherence vs. OushuDB

Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

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.

Time Series DBMS based on Cassandra

Oracles in-memory data grid solution

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Primary database model

Secondary database models

Document store
Spatial DBMS

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Trend Chart

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	8.37
Rank	#48	Overall
	#30	Relational DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	0.04
Rank	#363	Overall
	#154	Relational DBMS

Website

atoti.io

greenplum.org

opennms.github.io/newts

www.oracle.com/java/coherence

www.oushu.com/product/oushuDB

Technical documentation

docs.atoti.io

docs.greenplum.org

github.com/OpenNMS/newts/wiki

docs.oracle.com/en/middleware/standalone/coherence

www.oushu.com/documentation

Developer

ActiveViam

Pivotal Software Inc.

OpenNMS Group

Oracle

Oushu

Initial release

2005

2014

2007

Current release

7.0.0, September 2023

14.1, August 2023

4.0.1, August 2020

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache 2.0

Open Source

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.

Implementation language

Java

Server operating systems

Linux

Linux
OS X
Windows

All OS with a Java VM

Linux

Data scheme

yes

schema-free

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

Multidimensional Expressions (MDX)

yes

Full-featured ANSI SQL support

APIs and other access methods

JDBC
ODBC

HTTP REST
Java API

JCache
JPA
RESTful HTTP API

JDBC
ODBC

Supported programming languages

C
Java
Perl
Python
R

Java

.Net
C++
Java

C
C++

Server-side scripts

Stored procedures

Python

yes

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

based on Cassandra

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

selectable replication factor

based on Cassandra

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

optionally

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

authentification to access the cache via certificates or http basic authentication

Kerberos, SSL and role based access

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