DBMS > Atos Standard Common Repository vs. Faircom DB vs. searchxml vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. Faircom DB vs. searchxml vs. Sequoiadb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Faircom DB formerly c-treeACE  Xexclude from comparison	searchxml  Xexclude from comparison	Sequoiadb  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	Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.	DBMS for structured and unstructured content wrapped with an application server	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value store	Key-value store Relational DBMS	Native XML DBMS Search engine	Document store Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.29 Rank #304   Overall #43   Key-value stores #136   Relational DBMS	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.faircom.com/­products/­faircom-db	www.searchxml.net/­category/­products	www.sequoiadb.com
Technical documentation		docs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html	www.searchxml.net/­support/­handouts	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	FairCom Corporation	informationpartners gmbh	Sequoiadb Ltd.
Initial release	2016	1979	2015	2013
Current release	1703	V12, November 2020	1.0
License Commercial or Open Source	commercial	commercial Restricted, free version available	commercial	Open Source Server: AGPL; Client: Apache V2
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	ANSI C, C++	C++	C++
Server operating systems	Linux	AIX FreeBSD HP-UX Linux NetBSD OS X QNX SCO Solaris VxWorks Windows easily portable to other OSs	Windows	Linux
Data scheme	Schema and schema-less with LDAP views	schema free, schema optional, schema required, partial schema,	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes, ANSI SQL Types, JSON, typed binary structures	yes	yes oid, date, timestamp, binary, regex
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	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	yes, ANSI SQL with proprietary extensions	no	SQL-like query language
APIs and other access methods	LDAP	ADO.NET Direct SQL JDBC JPA ODBC RESTful HTTP/JSON API RESTful MQTT/JSON API RPC	RESTful HTTP API WebDAV XQuery XSLT	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ Java JavaScript (Node.js and browser) PHP Python Visual Basic	C++ most other programming languages supported via APIs	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	yes .Net, JavaScript, C/C++	yes on the application server	JavaScript
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	File partitioning, horizontal partitioning, sharding Customizable business rules for table partitioning	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).	yes sychronisation to multiple collections	Source-replica replication
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	Eventual Consistency Immediate Consistency Tunable consistency per server, database, table, and transaction	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	tunable from ACID to Eventually Consistent	multiple readers, single writer	Document is locked during a transaction
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	Yes, tunable from durable to delayed durability to in-memory	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no	no
User concepts Access control	LDAP bind authentication	Fine grained access rights according to SQL-standard with additional protections for files	Domain, group and role-based access control at the document level and for application services	simple password-based access control
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More resources
	Atos Standard Common Repository	Faircom DB formerly c-treeACE	searchxml	Sequoiadb
Recent citations in the news		FairCom kicks off new era of database technology USA - English 10 November 2020, PR Newswire provided by Google News

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