DBMS > Atos Standard Common Repository vs. Lovefield vs. SAP SQL Anywhere vs. searchxml

System Properties Comparison Atos Standard Common Repository vs. Lovefield vs. SAP SQL Anywhere vs. searchxml

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Lovefield  Xexclude from comparison	SAP SQL Anywhere formerly called Adaptive Server Anywhere  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	Embeddable relational database for web apps written in pure JavaScript	RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments	DBMS for structured and unstructured content wrapped with an application server
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Native XML DBMS Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 3.95 Rank #80   Overall #42   Relational DBMS	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	google.github.io/­lovefield	www.sap.com/­products/­technology-platform/­sql-anywhere.html	www.searchxml.net/­category/­products
Technical documentation		github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	help.sap.com/­docs/­SAP_SQL_Anywhere	www.searchxml.net/­support/­handouts
Developer	Atos Convergence Creators	Google	SAP formerly Sybase	informationpartners gmbh
Initial release	2016	2014	1992	2015
Current release	1703	2.1.12, February 2017	17, July 2015	1.0
License Commercial or Open Source	commercial	Open Source Apache 2.0	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	JavaScript		C++
Server operating systems	Linux	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	AIX HP-UX Linux OS X Solaris Windows	Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	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.	yes	no	yes	yes
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	SQL-like query language via JavaScript builder pattern	yes	no
APIs and other access methods	LDAP		ADO.NET HTTP API JDBC ODBC	RESTful HTTP API WebDAV XQuery XSLT
Supported programming languages	All languages with LDAP bindings	JavaScript	C C# C++ Delphi Java JavaScript (Node.js) Perl PHP Python Ruby	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	no	yes, in C/C++, Java, .Net or Perl	yes on the application server
Triggers	yes	Using read-only observers	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	Source-replica replication Database mirroring	yes sychronisation to multiple collections
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	multiple readers, single writer
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes using MemoryDB	yes	no
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	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	Lovefield	SAP SQL Anywhere formerly called Adaptive Server Anywhere	searchxml
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