DBMS > Amazon Neptune vs. Firebase Realtime Database vs. Oracle Coherence

System Properties Comparison Amazon Neptune vs. Firebase Realtime Database vs. Oracle Coherence

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

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

Primary database model

Graph DBMS
RDF store

Document store

Key-value store

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

Score	2.19
Rank	#111	Overall
	#9	Graph DBMS
	#5	RDF stores

Score	13.11
Rank	#39	Overall
	#6	Document stores

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

Website

aws.amazon.com/neptune

firebase.google.com/products/realtime-database

www.oracle.com/java/coherence

Technical documentation

aws.amazon.com/neptune/developer-resources

firebase.google.com/docs/database

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

Developer

Amazon

Google

acquired by Google 2014

Oracle

Initial release

2017

2012

2007

Current release

14.1, August 2023

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

Data scheme

schema-free

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

APIs and other access methods

OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin

Android
iOS
JavaScript API
RESTful HTTP API

JCache
JPA
RESTful HTTP API

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

Java
JavaScript
Objective-C

.Net
C++
Java

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

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

yes

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with encyption-at-rest

yes

optionally

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

yes, based on authentication and database rules

authentification to access the cache via certificates or http basic authentication

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Use Amazon Neptune Analytics to analyze relationships in your data faster, Part 2: Enhancing fraud detection with Parquet and CSV import and export
21 January 2025, AWS Blog

How Orca Security optimized their Amazon Neptune database performance | Amazon Web Services
17 January 2025, AWS Blog

How Prisma Cloud built Infinity Graph using Amazon Neptune and Amazon OpenSearch Service
27 August 2024, AWS Blog

Using knowledge graphs to build GraphRAG applications with Amazon Bedrock and Amazon Neptune
1 August 2024, AWS Blog

How Coinbase provides trustworthy financial experiences through real-time user clustering with Amazon Neptune
18 November 2024, AWS Blog

provided by Google News

Supabase vs. Firebase: Which BaaS is Best for Your App?
14 August 2024, Netguru

Realtime vs Cloud Firestore: Which Firebase Database to Choose
8 March 2024, Appinventiv

Instant harkens back to a pre-Google Firebase
2 October 2024, TechCrunch

New FireScam Android Malware Abusing Firebase Services To Evade Detection
7 January 2025, GBHackers

Don't be like these 900+ websites and expose millions of passwords via Firebase
18 March 2024, The Register

provided by Google News

CISA adds 2020 Oracle vulnerability to KEV: We hope you...
7 January 2025, The Stack

Article: Using Oracle Coherence with Spring Batch for High-Performance Data Processing
2 July 2019, oracle.com

Oracle Patch Update, January 2024 Security Update Review
17 January 2024, Qualys Blog

New solutions for Oracle WebLogic on Azure Virtual Machines
1 April 2021, Microsoft

Hazelcast takes on proprietary Oracle in the In-Memory arena
17 June 2014, DatacenterDynamics

provided by Google News

Share this page