DBMS > Atos Standard Common Repository vs. EsgynDB vs. InfinityDB vs. searchxml

System Properties Comparison Atos Standard Common Repository vs. EsgynDB vs. InfinityDB vs. searchxml

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EsgynDB  Xexclude from comparison	InfinityDB  Xexclude from comparison	searchxml  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	A Java embedded Key-Value Store which extends the Java Map interface	DBMS for structured and unstructured content wrapped with an application server
Primary database model	Document store Key-value store	Relational DBMS	Key-value store	Native XML DBMS Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.esgyn.cn	boilerbay.com	www.searchxml.net/­category/­products
Technical documentation			boilerbay.com/­infinitydb/­manual	www.searchxml.net/­support/­handouts
Developer	Atos Convergence Creators	Esgyn	Boiler Bay Inc.	informationpartners gmbh
Initial release	2016	2015	2002	2015
Current release	1703		4.0	1.0
License Commercial or Open Source	commercial	commercial	commercial	commercial
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	Java	C++
Server operating systems	Linux	Linux	All OS with a Java VM	Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	schema-free
Typing predefined data types such as float or date	optional	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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.	yes	no	no	yes
Secondary indexes	yes	yes	no manual creation possible, using inversions based on multi-value capability	yes
SQL Support of SQL	no	yes	no	no
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	RESTful HTTP API WebDAV XQuery XSLT
Supported programming languages	All languages with LDAP bindings	All languages supporting JDBC/ODBC/ADO.Net	Java	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	Java Stored Procedures	no	yes on the application server
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication between multi datacenters	none	yes sychronisation to multiple collections
MapReduce Offers an API for user-defined Map/Reduce methods		yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED	Immediate Consistency
Foreign keys Referential integrity	no	yes	no manual creation possible, using inversions based on multi-value capability	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID Optimistic locking for transactions; no isolation for bulk loads	multiple readers, single writer
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	no	no	no
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	no	Domain, group and role-based access control at the document level and for application services
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More resources
	Atos Standard Common Repository	EsgynDB	InfinityDB	searchxml
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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