DBMS > Atos Standard Common Repository vs. OpenTSDB vs. Sequoiadb vs. Transwarp KunDB

System Properties Comparison Atos Standard Common Repository vs. OpenTSDB vs. Sequoiadb vs. Transwarp KunDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	OpenTSDB  Xexclude from comparison	Sequoiadb  Xexclude from comparison	Transwarp KunDB  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	Scalable Time Series DBMS based on HBase	NewSQL database with distributed OLTP and SQL	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Document store Key-value store	Time Series DBMS	Document store Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.68 Rank #142   Overall #12   Time Series DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	opentsdb.net	www.sequoiadb.com	www.transwarp.cn/­en/­product/­kundb
Technical documentation		opentsdb.net/­docs/­build/­html/­index.html	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	currently maintained by Yahoo and other contributors	Sequoiadb Ltd.	Transwarp
Initial release	2016	2011	2013
Current release	1703
License Commercial or Open Source	commercial	Open Source LGPL	Open Source Server: AGPL; Client: Apache V2	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	Java	C++
Server operating systems	Linux	Linux Windows	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes
Typing predefined data types such as float or date	optional	numeric data for metrics, strings for tags	yes oid, date, timestamp, binary, regex	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
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	SQL-like query language	yes
APIs and other access methods	LDAP	HTTP API Telnet API	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	Erlang Go Java Python R Ruby	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	no	JavaScript	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on HBase	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on HBase	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	Immediate Consistency based on HBase	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	Document is locked during a transaction	ACID
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
User concepts Access control	LDAP bind authentication	no	simple password-based access control	yes
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More resources
	Atos Standard Common Repository	OpenTSDB	Sequoiadb	Transwarp KunDB
DB-Engines blog posts		Time Series DBMS are the database category with the fastest increase in popularity 4 July 2016, Matthias Gelbmann show all
Recent citations in the news		Comparing Different Time-Series Databases 10 February 2022, hackernoon.com MapR to help admins peer into dense Hadoop clusters 28 June 2016, SiliconANGLE News A real-time processing revival - O'Reilly Radar 2 April 2015, O'Reilly Radar provided by Google News

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