DBMS > Atos Standard Common Repository vs. OrientDB vs. Transwarp StellarDB vs. Yanza

System Properties Comparison Atos Standard Common Repository vs. OrientDB vs. Transwarp StellarDB vs. Yanza

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	OrientDB  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison	Yanza  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Multi-model DBMS (Document, Graph, Key/Value)	A distributed graph DBMS built for enterprise-level graph applications	Time Series DBMS for IoT Applications
Primary database model	Document store Key-value store	Document store Graph DBMS Key-value store	Graph DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 3.25 Rank #89   Overall #16   Document stores #6   Graph DBMS #13   Key-value stores	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	orientdb.org	www.transwarp.cn/­en/­product/­stellardb	yanza.com
Technical documentation		www.orientdb.com/­docs/­last/­index.html
Developer	Atos Convergence Creators	OrientDB LTD; CallidusCloud; SAP	Transwarp	Yanza
Initial release	2016	2010		2015
Current release	1703	3.2.29, March 2024
License Commercial or Open Source	commercial	Open Source Apache version 2	commercial	commercial free version available
Cloud-based only Only available as a cloud service	no	no	no	no but mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java
Server operating systems	Linux	All OS with a Java JDK (>= JDK 6)		Windows
Data scheme	Schema and schema-less with LDAP views	schema-free Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")		schema-free
Typing predefined data types such as float or date	optional	yes		no
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	no		no
Secondary indexes	yes	yes		no
SQL Support of SQL	no	SQL-like query language, no joins	SQL-like query language	no
APIs and other access methods	LDAP	Tinkerpop technology stack with Blueprints, Gremlin, Pipes Java API RESTful HTTP/JSON API	OpenCypher	HTTP API
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ Clojure Java JavaScript JavaScript (Node.js) PHP Python Ruby Scala		any language that supports HTTP calls
Server-side scripts Stored procedures	no	Java, Javascript		no
Triggers	yes	Hooks		yes Timer and event based
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication		none
MapReduce Offers an API for user-defined Map/Reduce methods		no could be achieved with distributed queries		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration			Immediate Consistency
Foreign keys Referential integrity	no	yes relationship in graphs		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID		no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	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	LDAP bind authentication	Access rights for users and roles; record level security configurable	yes	no
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More resources
	Atos Standard Common Repository	OrientDB	Transwarp StellarDB	Yanza
DB-Engines blog posts		Graph DBMS increased their popularity by 500% within the last 2 years 3 March 2015, Paul Andlinger Graph DBMSs are gaining in popularity faster than any other database category 21 January 2014, Matthias Gelbmann show all
Recent citations in the news		OrientDB: A Flexible and Scalable Multi-Model NoSQL DBMS 21 January 2022, Open Source For You Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell 20 September 2019, Towards Data Science The 12 Best Graph Databases to Consider for 2024 22 October 2023, Solutions Review ArangoDB raises $10 million for NoSQL database management 14 March 2019, VentureBeat Introducing Gremlin The Graph Database 14 August 2013, iProgrammer provided by Google News

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