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

System Properties Comparison Atos Standard Common Repository vs. OpenTSDB vs. searchxml 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	searchxml  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	DBMS for structured and unstructured content wrapped with an application server	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	Native XML DBMS Search engine	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 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	opentsdb.net	www.searchxml.net/­category/­products	www.transwarp.cn/­en/­product/­kundb
Technical documentation		opentsdb.net/­docs/­build/­html/­index.html	www.searchxml.net/­support/­handouts
Developer	Atos Convergence Creators	currently maintained by Yahoo and other contributors	informationpartners gmbh	Transwarp
Initial release	2016	2011	2015
Current release	1703		1.0
License Commercial or Open Source	commercial	Open Source LGPL	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	Java	C++
Server operating systems	Linux	Linux Windows	Windows
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	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
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	LDAP	HTTP API Telnet API	RESTful HTTP API WebDAV XQuery XSLT
Supported programming languages	All languages with LDAP bindings	Erlang Go Java Python R Ruby	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	no	yes on the application server	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on HBase	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on HBase	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 based on HBase	Immediate 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	multiple readers, single writer	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	Domain, group and role-based access control at the document level and for application services	yes
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More resources
	Atos Standard Common Repository	OpenTSDB	searchxml	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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