DBMS > Firebase Realtime Database vs. Oracle Coherence vs. TimesTen

System Properties Comparison Firebase Realtime Database vs. Oracle Coherence vs. TimesTen

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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.

Oracles in-memory data grid solution

An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.

Primary database model

Document store

Key-value store

Relational DBMS

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

Score	13.11
Rank	#39	Overall
	#6	Document stores

Score	1.69
Rank	#130	Overall
	#22	Key-value stores

Score	1.19
Rank	#167	Overall
	#76	Relational DBMS

Website

firebase.google.com/products/realtime-database

www.oracle.com/java/coherence

www.oracle.com/database/technologies/related/timesten.html

Technical documentation

firebase.google.com/docs/database

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

docs.oracle.com/en/database/other-databases/timesten/index.html

Developer

Google

acquired by Google 2014

Oracle

originally founded in HP Labs it was acquired by Oracle in 2005

Initial release

2012

2007

1998

Current release

14.1, August 2023

Release 22.1

License

Commercial or Open Source

commercial

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

Server operating systems

hosted

All OS with a Java VM

IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

JCache
JPA
RESTful HTTP API

ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC

Supported programming languages

Java
JavaScript
Objective-C

.Net
C++
Java

C
C++
Java
Node.js
PL/SQL
Python

Server-side scripts

Stored procedures

limited functionality with using 'rules'

PL/SQL

Triggers

Callbacks are triggered when data changes

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with selectable consistency level

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

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
Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

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 means of logfiles and checkpoints

In-memory capabilities

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

yes

User concepts

Access control

yes, based on authentication and database rules

authentification to access the cache via certificates or http basic authentication

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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