DBMS > Atos Standard Common Repository vs. LeanXcale vs. OpenTSDB vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. LeanXcale vs. OpenTSDB vs. Sequoiadb

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	LeanXcale  Xexclude from comparison	OpenTSDB  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	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	Scalable Time Series DBMS based on HBase	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value 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 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 1.68 Rank #142   Overall #12   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.leanxcale.com	opentsdb.net	www.sequoiadb.com
Technical documentation			opentsdb.net/­docs/­build/­html/­index.html	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	LeanXcale	currently maintained by Yahoo and other contributors	Sequoiadb Ltd.
Initial release	2016	2015	2011	2013
Current release	1703
License Commercial or Open Source	commercial	commercial	Open Source LGPL	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		Java	C++
Server operating systems	Linux		Linux Windows	Linux
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	schema-free
Typing predefined data types such as float or date	optional		numeric data for metrics, strings for tags	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
Secondary indexes	yes		no	yes
SQL Support of SQL	no	yes through Apache Derby	no	SQL-like query language
APIs and other access methods	LDAP	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	HTTP API Telnet API	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	C Java Scala	Erlang Go Java Python R Ruby	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no		no	JavaScript
Triggers	yes		no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding based on HBase	Sharding
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	Immediate Consistency based on HBase	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	yes	no	no
User concepts Access control	LDAP bind authentication		no	simple password-based access control
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More resources
	Atos Standard Common Repository	LeanXcale	OpenTSDB	Sequoiadb
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			Brain Monitoring with Kafka, OpenTSDB, and Grafana 5 August 2016, KDnuggets Comparing Different Time-Series Databases 10 February 2022, hackernoon.com MapR to help admins peer into dense Hadoop clusters 28 June 2016, SiliconANGLE News LogicMonitor Rolls a Time Series Database for Finer-Grain Reporting 1 June 2016, The New Stack A real-time processing revival - O'Reilly Radar 2 April 2015, O'Reilly Radar provided by Google News

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