DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Galaxybase vs. ObjectBox vs. SiriDB

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

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

Scalable, ACID-compliant native distributed parallel graph platform

Extremely fast embedded database for small devices, IoT and Mobile

Open Source Time Series DBMS

Primary database model

Graph DBMS
RDF store

Document store
Key-value store

Graph DBMS

Object oriented DBMS

Time Series DBMS

Secondary database models

Time Series DBMS

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

Score	2.29
Rank	#113	Overall
	#9	Graph DBMS
	#5	RDF stores

Score	0.07
Rank	#377	Overall
	#40	Graph DBMS

Score	1.29
Rank	#166	Overall
	#5	Object oriented DBMS

Score	0.07
Rank	#378	Overall
	#42	Time Series DBMS

Website

aws.amazon.com/neptune

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

galaxybase.com

objectbox.io

siridb.com

Technical documentation

aws.amazon.com/neptune/developer-resources

docs.objectbox.io

docs.siridb.com

Developer

Amazon

Atos Convergence Creators

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

ObjectBox Limited

Cesbit

Initial release

2017

2016

2017

Current release

1703

Nov 20, November 2021

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

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

C and Java

C and C++

Server operating systems

hosted

Linux

Android
iOS
Linux
macOS
Windows

Linux

Data scheme

schema-free

Schema and schema-less with LDAP views

Strong typed schema

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

APIs and other access methods

OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin

LDAP

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

Proprietary native API

HTTP API

Supported programming languages

C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala

All languages with LDAP bindings

Go
Java
Python

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

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

Server-side scripts

Stored procedures

user defined procedures and functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

cell division

Sharding

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

online/offline synchronization between client and server

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

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

Role-based access control

yes

simple rights management via user accounts

More information provided by the system vendor

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