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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	OpenTSDB  Xexclude from comparison	Transwarp KunDB  Xexclude from comparison	XTDB formerly named Crux  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	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle	A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.68 Rank #142   Overall #12   Time Series DBMS	Score 0.14 Rank #341   Overall #149   Relational DBMS	Score 0.18 Rank #332   Overall #46   Document stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	opentsdb.net	www.transwarp.cn/­en/­product/­kundb	github.com/­xtdb/­xtdb www.xtdb.com
Technical documentation		opentsdb.net/­docs/­build/­html/­index.html		www.xtdb.com/­docs
Developer	Atos Convergence Creators	currently maintained by Yahoo and other contributors	Transwarp	Juxt Ltd.
Initial release	2016	2011		2019
Current release	1703			1.19, September 2021
License Commercial or Open Source	commercial	Open Source LGPL	commercial	Open Source MIT License
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		Clojure
Server operating systems	Linux	Linux Windows		All OS with a Java 8 (and higher) VM Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	numeric data for metrics, strings for tags	yes	yes, extensible-data-notation format
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	yes	limited SQL, making use of Apache Calcite
APIs and other access methods	LDAP	HTTP API Telnet API		HTTP REST JDBC
Supported programming languages	All languages with LDAP bindings	Erlang Go Java Python R Ruby		Clojure Java
Server-side scripts Stored procedures	no	no	yes	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on HBase	horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on HBase		yes, each node contains all data
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	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no
User concepts Access control	LDAP bind authentication	no	yes
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More resources
	Atos Standard Common Repository	OpenTSDB	Transwarp KunDB	XTDB formerly named Crux
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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