DBMS > Amazon Neptune vs. Dgraph vs. JanusGraph

System Properties Comparison Amazon Neptune vs. Dgraph vs. JanusGraph

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

Distributed and scalable native Graph DBMS

A Graph DBMS optimized for distributed clusters

It was forked from the latest code base of Titan in January 2017

Primary database model

Graph DBMS
RDF store

Graph DBMS

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

Score	2.13
Rank	#111	Overall
	#9	Graph DBMS
	#5	RDF stores

Score	1.25
Rank	#160	Overall
	#15	Graph DBMS

Score	1.78
Rank	#127	Overall
	#10	Graph DBMS

Website

aws.amazon.com/neptune

dgraph.io

janusgraph.org

Technical documentation

aws.amazon.com/neptune/developer-resources

dgraph.io/docs

docs.janusgraph.org

Developer

Amazon

Dgraph Labs, Inc.

Linux Foundation; originally developed as Titan by Aurelius

Initial release

2017

2016

2017

Current release

1.0.0, October 2023

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

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

Java

Server operating systems

hosted

Linux
OS X
Windows

Linux
OS X
Unix
Windows

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

APIs and other access methods

OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

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

Clojure
Java
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

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.

Synchronous replication via Raft

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
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

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

User concepts

Access control

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

Planned for future releases

User authentification and security via Rexster Graph Server

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

Recent citations in the news

Zupee implements Amazon Neptune to detect Wallet transaction anomalies in real time
28 April 2025, Amazon Web Services (AWS)

Use Amazon Neptune Analytics to analyze relationships in your data faster, Part 1: Introducing Parquet and CSV import and export
21 January 2025, Amazon Web Services (AWS)

Using generative AI and Amazon Bedrock to generate SPARQL queries to discover protein functional information with UniProtKB and Amazon Neptune | Amazon Web Services
9 April 2025, Amazon Web Services (AWS)

Introducing the GraphRAG Toolkit
27 January 2025, Amazon Web Services (AWS)

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

provided by Google News

Dgraph on AWS: Setting up a horizontally scalable graph database
1 September 2020, Amazon Web Services

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

Graph database reinvented: Dgraph secures $11.5M to pursue its unique and opinionated path
31 July 2019, ZDNet

Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

provided by Google News

Database Deep Dives: JanusGraph
8 August 2019, IBM

Update Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
28 March 2022, InApps Technology

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

Performance Tuning Your Titan Graph Database on AWS
14 December 2015, Amazon Web Services

Advantages of graph databases: Easier data modeling, analytics
23 January 2019, TechTarget

provided by Google News

Share this page