DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. HyperSQL vs. SiriDB

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. HyperSQL vs. SiriDB

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Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

Fast, reliable graph database built for the cloud

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

Open Source Time Series DBMS

Primary database model

Graph DBMS
RDF store

Document store
Key-value store

Relational DBMS

Time Series DBMS

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

Score	2.82
Rank	#107	Overall
	#6	Graph DBMS
	#4	RDF stores

Score	5.46
Rank	#76	Overall
	#41	Relational DBMS

Score	0.01
Rank	#353	Overall
	#31	Time Series DBMS

Website

aws.amazon.com/neptune

atos.net/en/convergence-creators/portfolio/standard-common-repository

hsqldb.org

siridb.net

Technical documentation

aws.amazon.com/neptune/developer-resources

hsqldb.org/web/hsqlDocsFrame.html

docs.siridb.net

Developer

Amazon

Atos Convergence Creators

Cesbit

Initial release

2017

2016

2001

2017

Current release

1703

2.6.1, October 2021

License

Commercial or Open Source

commercial

Open Source

based on BSD license

Open Source

MIT License

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

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

Linux

Data scheme

schema-free

Schema and schema-less with LDAP views

yes

Typing

predefined data types such as float or date

yes

optional

yes

Numeric data

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3

LDAP

HTTP API

JDBC via HTTP
JDBC
ODBC

HTTP API

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

All languages with LDAP bindings

All languages supporting JDBC/ODBC
Java

C
C++
Go
Python

Server-side scripts

Stored procedures

Java, SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

cell division

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

yes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

Atomic execution of specific operations

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

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

LDAP bind authentication

fine grained access rights according to SQL-standard

simple rights management via user accounts

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More resources

Recent citations in the news

Data-as-a-Service Market: 47.21% YOY growth achieved in 2021 | Driven by growing amount of data | Technavio
25 June 2022, PR Newswire

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

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

Amazon Neptune
22 March 2022, TechTarget

Catching up with Amazon Neptune
26 November 2019, ZDNet

provided by Google News

In-Memory Database Market Estimated to Reach $9.34 Billion by 2027
4 April 2022, Digital Journal

Open-source DBMS becoming battleground of public cloud
17 May 2022, Etnews

provided by Google News

Job opportunities

Amazon Neptune - Software Dev Engineer
Amazon Web Services, Inc., Bellevue, WA

Product Manager - Technical, Amazon Neptune
Amazon Dev Center U.S., Inc., Seattle, WA

Platform Engineer-62300J
ADP, New York, NY

Software Dev Engineer - Amazon Neptune Platform
Amazon Dev Center U.S., Inc., Seattle, WA

Software Development Engineer, Customer Privacy
Amazon.com Services LLC, Remote

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