DBMS > AllegroGraph vs. Amazon Neptune vs. Amazon Redshift

System Properties Comparison AllegroGraph vs. Amazon Neptune vs. Amazon Redshift

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Editorial information provided by DB-Engines

Name

Description

High performance, persistent RDF store with additional support for Graph DBMS

Fast, reliable graph database built for the cloud

Large scale data warehouse service for use with business intelligence tools

Primary database model

Document store

with version 6.5
Graph DBMS
RDF store

Graph DBMS
RDF store

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	1.15
Rank	#166	Overall
	#29	Document stores
	#14	Graph DBMS
	#7	RDF stores

Score	2.82
Rank	#108	Overall
	#6	Graph DBMS
	#4	RDF stores

Score	25.94
Rank	#31	Overall
	#18	Relational DBMS

Website

allegrograph.com

aws.amazon.com/neptune

aws.amazon.com/redshift

Technical documentation

franz.com/agraph/support/documentation/current/agraph-introduction.html

aws.amazon.com/neptune/developer-resources

docs.aws.amazon.com/redshift

Developer

Franz Inc.

Amazon

Amazon (based on PostgreSQL)

Initial release

2004

2017

2012

Current release

7.2.0, October 2021

License

Commercial or Open Source

commercial

Limited community edition free

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

Server operating systems

Linux
OS X
Windows

hosted

Data scheme

yes

RDF schemas

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.

bulk load of XML files possible

Secondary indexes

yes

restricted

SQL

Support of SQL

SPARQL is used as query language

yes

does not fully support an SQL-standard

APIs and other access methods

RESTful HTTP API
SPARQL

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

JDBC
ODBC

Supported programming languages

C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

All languages supporting JDBC/ODBC

Server-side scripts

Stored procedures

yes

JavaScript or Common Lisp

user defined functions

in Python

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

with Federation

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Multi-availability zones high availability, asynchronous replication for up to 15 read replicas

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

informational only, not enforced by the system

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

In-memory capabilities

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

yes

User concepts

Access control

Users with fine-grained authorization concept, user roles and pluggable authentication

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

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more

Competitive advantages

AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more

News

The Knowledge Graph Conference 2022
4 May 2022

100 Companies That Matter – Franz Inc.
10 March 2022

Knowledge Graph Standards in Ambient Computing
15 February 2022

Linguistic Reduction and Knowledge Graphs for Next-Gen Chatbots
31 January 2022

Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
13 January 2022

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