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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	atoti  Xexclude from comparison	OpenTSDB  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	An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.	Scalable Time Series DBMS based on HBase	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Document store Key-value store	Object oriented DBMS	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.61 Rank #243   Overall #11   Object oriented DBMS	Score 1.68 Rank #142   Overall #12   Time Series DBMS	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	atoti.io	opentsdb.net	www.transwarp.cn/­en/­product/­kundb
Technical documentation		docs.atoti.io	opentsdb.net/­docs/­build/­html/­index.html
Developer	Atos Convergence Creators	ActiveViam	currently maintained by Yahoo and other contributors	Transwarp
Initial release	2016		2011
Current release	1703
License Commercial or Open Source	commercial	commercial free versions available	Open Source LGPL	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	Java
Server operating systems	Linux		Linux Windows
Data scheme	Schema and schema-less with LDAP views		schema-free	yes
Typing predefined data types such as float or date	optional		numeric data for metrics, strings for tags	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
Secondary indexes	yes		no	yes
SQL Support of SQL	no	Multidimensional Expressions (MDX)	no	yes
APIs and other access methods	LDAP		HTTP API Telnet API
Supported programming languages	All languages with LDAP bindings		Erlang Go Java Python R Ruby
Server-side scripts Stored procedures	no	Python	no	yes
Triggers	yes		no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding, horizontal partitioning	Sharding based on HBase	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes		selectable replication factor based on HBase
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
Foreign keys Referential integrity	no		no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations		no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes		yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no
User concepts Access control	LDAP bind authentication		no	yes
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More resources
	Atos Standard Common Repository	atoti	OpenTSDB	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		Overview Of Atoti: A Python BI Analytics Tool – AIM 14 May 2021, Analytics India Magazine FRTB product of the year: ActiveViam 28 November 2023, Risk.net provided by Google 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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