DBMS > Newts vs. Oracle Coherence vs. Quasardb vs. Sadas Engine

System Properties Comparison Newts vs. Oracle Coherence vs. Quasardb vs. Sadas Engine

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Editorial information provided by DB-Engines

Name

Description

Time Series DBMS based on Cassandra

Oracles in-memory data grid solution

Distributed, high-performance timeseries database

SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments

Primary database model

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

Score	0.00
Rank	#396	Overall
	#42	Time Series DBMS

Score	2.02
Rank	#131	Overall
	#22	Key-value stores

Score	0.19
Rank	#327	Overall
	#30	Time Series DBMS

Score	0.03
Rank	#379	Overall
	#156	Relational DBMS

Website

opennms.github.io/newts

www.oracle.com/java/coherence

quasar.ai

www.sadasengine.com

Technical documentation

github.com/OpenNMS/newts/wiki

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

doc.quasar.ai/master

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

Developer

OpenNMS Group

Oracle

quasardb

SADAS s.r.l.

Initial release

2014

2007

2009

2006

Current release

14.1, August 2023

3.14.1, January 2024

8.0

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

commercial

free trial version available

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

C++

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

BSD
Linux
OS X
Windows

AIX
Linux
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

integer and binary

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.

Secondary indexes

yes

with tags

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

HTTP REST
Java API

JCache
JPA
RESTful HTTP API

HTTP API

JDBC
ODBC
Proprietary protocol

Supported programming languages

Java

.Net
C++
Java

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

.Net
C
C#
C++
Groovy
Java
PHP
Python

Server-side scripts

Stored procedures

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

consistent hashing

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

yes, with selectable consistency level

Source-replica replication with selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

by using LevelDB

yes

In-memory capabilities

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

yes

Transient mode

yes

managed by 'Learn by Usage'

User concepts

Access control

authentification to access the cache via certificates or http basic authentication

Cryptographically strong user authentication and audit trail

Access rights for users, groups and roles according to SQL-standard

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