DBMS > Atos Standard Common Repository vs. EsgynDB vs. EventStoreDB vs. YottaDB

System Properties Comparison Atos Standard Common Repository vs. EsgynDB vs. EventStoreDB vs. YottaDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EsgynDB  Xexclude from comparison	EventStoreDB  Xexclude from comparison	YottaDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Industrial-strength, open-source database solution built from the ground up for event sourcing.	A fast and solid embedded Key-value store
Primary database model	Document store Key-value store	Relational DBMS	Event Store	Key-value store
Secondary database models				Relational DBMS using the Octo plugin
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 1.19 Rank #173   Overall #1   Event Stores	Score 0.28 Rank #306   Overall #44   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.esgyn.cn	www.eventstore.com	yottadb.com
Technical documentation			developers.eventstore.com	yottadb.com/­resources/­documentation
Developer	Atos Convergence Creators	Esgyn	Event Store Limited	YottaDB, LLC
Initial release	2016	2015	2012	2001
Current release	1703		21.2, February 2021
License Commercial or Open Source	commercial	commercial	Open Source	Open Source AGPL 3.0
Cloud-based only Only available as a cloud service	no	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++, Java		C
Server operating systems	Linux	Linux	Linux Windows	Docker Linux
Data scheme	Schema and schema-less with LDAP views	yes		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	yes		by using the Octo plugin
APIs and other access methods	LDAP	ADO.NET JDBC ODBC		PostgreSQL wire protocol using the Octo plugin Proprietary protocol
Supported programming languages	All languages with LDAP bindings	All languages supporting JDBC/ODBC/ADO.Net		C Go JavaScript (Node.js) Lua M Perl Python Rust
Server-side scripts Stored procedures	no	Java Stored Procedures
Triggers	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication between multi datacenters		yes
MapReduce Offers an API for user-defined Map/Reduce methods		yes		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
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID		optimistic locking
Concurrency Support for concurrent manipulation of data	yes	yes
Durability Support for making data persistent	yes	yes		yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no		yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard		Users and groups based on OS-security mechanisms
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More resources
	Atos Standard Common Repository	EsgynDB	EventStoreDB	YottaDB
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News

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