DBMS > Firebase Realtime Database vs. Newts vs. Oracle Coherence vs. Quasardb

System Properties Comparison Firebase Realtime Database vs. Newts vs. Oracle Coherence vs. Quasardb

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Editorial information provided by DB-Engines

Name

Description

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

Time Series DBMS based on Cassandra

Oracles in-memory data grid solution

Distributed, high-performance timeseries database

Primary database model

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

Score	15.00
Rank	#39	Overall
	#6	Document stores

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

Website

firebase.google.com/products/realtime-database

opennms.github.io/newts

www.oracle.com/java/coherence

quasar.ai

Technical documentation

firebase.google.com/docs/database

github.com/OpenNMS/newts/wiki

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

doc.quasar.ai/master

Developer

Google

acquired by Google 2014

OpenNMS Group

Oracle

quasardb

Initial release

2012

2014

2007

2009

Current release

14.1, August 2023

3.14.1, January 2024

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

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

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

C++

Server operating systems

hosted

Linux
OS X
Windows

All OS with a Java VM

BSD
Linux
OS X
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

integer and binary

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

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

HTTP REST
Java API

JCache
JPA
RESTful HTTP API

HTTP API

Supported programming languages

Java
JavaScript
Objective-C

Java

.Net
C++
Java

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

Server-side scripts

Stored procedures

limited functionality with using 'rules'

Triggers

Callbacks are triggered when data changes

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

Sharding

consistent hashing

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

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

if the client is offline
Immediate Consistency

if the client is online

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

yes

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

by using LevelDB

In-memory capabilities

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

yes

Transient mode

User concepts

Access control

yes, based on authentication and database rules

authentification to access the cache via certificates or http basic authentication

Cryptographically strong user authentication and audit trail

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More resources

DB-Engines blog posts

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