DBMS > Atos Standard Common Repository vs. EsgynDB vs. Prometheus vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. EsgynDB vs. Prometheus vs. Sequoiadb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EsgynDB  Xexclude from comparison	Prometheus  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	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Open-source Time Series DBMS and monitoring system	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value store	Relational DBMS	Time Series DBMS	Document store Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 7.69 Rank #50   Overall #3   Time Series DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.esgyn.cn	prometheus.io	www.sequoiadb.com
Technical documentation			prometheus.io/­docs	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	Esgyn		Sequoiadb Ltd.
Initial release	2016	2015	2015	2013
Current release	1703
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	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	C++, Java	Go	C++
Server operating systems	Linux	Linux	Linux Windows	Linux
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	Numeric data only	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	no Import of XML data possible	no
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	no	yes	no	SQL-like query language
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	RESTful HTTP/JSON API	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	All languages supporting JDBC/ODBC/ADO.Net	.Net C++ Go Haskell Java JavaScript (Node.js) Python Ruby	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	Java Stored Procedures	no	JavaScript
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication between multi datacenters	yes by Federation	Source-replica replication
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	none	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	ACID	no	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	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	simple password-based access control
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More resources
	Atos Standard Common Repository	EsgynDB	Prometheus	Sequoiadb
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