DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Cubrid vs. Transwarp ArgoDB

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Cubrid vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
Name	Amazon Neptune  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Cubrid  Xexclude from comparison	Transwarp ArgoDB  Xexclude from comparison
		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	CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database model	Graph DBMS RDF store	Document store Key-value store	Relational DBMS	Relational DBMS
Secondary database models				Search engine
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 1.04 Rank #187   Overall #87   Relational DBMS	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	aws.amazon.com/­neptune	atos.net/en/convergence-creators/portfolio/standard-common-repository	cubrid.com (korean) cubrid.org (english)	www.transwarp.cn/­en/­product/­argodb
Technical documentation	aws.amazon.com/­neptune/­developer-resources		cubrid.org/­manuals	docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Amazon	Atos Convergence Creators	CUBRID Corporation, CUBRID Foundation	Transwarp
Initial release	2017	2016	2008
Current release		1703	11.0, January 2021
License Commercial or Open Source	commercial	commercial	Open Source Apache Version 2.0	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java	C, C++, Java
Server operating systems	hosted	Linux	Linux Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	yes	optional	yes	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.	no	yes	no
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin	LDAP	ADO.NET JDBC ODBC OLE DB
Supported programming languages	C# Go Java JavaScript PHP Python Ruby Scala	All languages with LDAP bindings	C C# C++ Go Java JavaScript (Node.js) Perl PHP Python Ruby
Server-side scripts Stored procedures	no	no	Java Stored Procedures
Triggers	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	none
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	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no		no
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	no	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	yes	yes	yes
Durability Support for making data persistent	yes with encyption-at-rest	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	no
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
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More resources
	Amazon Neptune	Atos Standard Common Repository	Cubrid	Transwarp ArgoDB
Recent citations in the news	Exploring new features of Apache TinkerPop 3.7.x in Amazon Neptune | Amazon Web Services 7 June 2024, AWS Blog Building NHM London's Planetary Knowledge Base with Amazon Neptune and the Registry of Open Data on AWS ... 5 June 2024, AWS Blog AWS Weekly Roundup: LlamaIndex support for Amazon Neptune, force AWS CloudFormation stack deletion, and more ... 27 May 2024, AWS Blog AWS announces Amazon Neptune I/O-Optimized 22 February 2024, AWS Blog Amazon Neptune Analytics is now available in the AWS Europe (London) Region 14 March 2024, AWS Blog provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News

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