DBMS > Amazon Neptune vs. NebulaGraph

System Properties Comparison Amazon Neptune vs. NebulaGraph

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Our visitors often compare Amazon Neptune and NebulaGraph with Neo4j, TigerGraph and JanusGraph.

Editorial information provided by DB-Engines

Name

Description

Fast, reliable graph database built for the cloud

A distributed, linear scalable, high perfomant Graph DBMS

Primary database model

Graph DBMS
RDF store

Graph DBMS

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

Score	3.19
Rank	#102	Overall
	#6	Graph DBMS
	#3	RDF stores

Score	1.18
Rank	#169	Overall
	#14	Graph DBMS

Website

aws.amazon.com/neptune

github.com/vesoft-inc/nebula
nebula-graph.io

Technical documentation

aws.amazon.com/neptune/developer-resources

docs.nebula-graph.io

Developer

Amazon

Vesoft Inc.

Initial release

2017

2019

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0 + Common Clause 1.0

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

C++

Server operating systems

hosted

Linux

Data scheme

schema-free

Strong typed schema

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

Nebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.

SQL

Support of SQL

SQL-like query language

APIs and other access methods

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

Browser interface
console (shell)
Proprietary native API
Query language nGQL

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

C++
Go
Java
Python

Server-side scripts

Stored procedures

Triggers

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

Causal Clustering using Raft protocol

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Relationships in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with encyption-at-rest

yes

using RocksDB

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)

Role-based access control

More information provided by the system vendor

Specific characteristics

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more

Competitive advantages

NebulaGraph boasts the world's only graph database solution that is able to host...
» more

Typical application scenarios

Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more

Key customers

Currently we have some top internet companies in China implementing NebulaGraph in...
» more

Market metrics

At our very early stage, NebulaGraph has already received 3.5k stars and thousands...
» more

Licensing and pricing models

NebulaGraph is open source and free to use under Apache 2.0 license and Common Clause...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

Microsoft Dataverse, scikit-learn Pipeline Tutorial, NLP Bundle.
23 September 2022, Packt Hub

Amazon announces general availability of its Graph Database called Neptune
29 July 2022, Analytics India Magazine

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30 July 2021, ZDNet

Here’s how you can predict graphs accurately, quickly, and securely with Amazon Neptune
2 November 2021, YourStory

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1 June 2018, Healthcare IT News

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16 September 2022, TechCrunch

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