DBMS > Atos Standard Common Repository vs. OpenTenBase vs. OpenTSDB vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. OpenTenBase vs. OpenTSDB vs. WakandaDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	OpenTenBase  Xexclude from comparison	OpenTSDB  Xexclude from comparison	WakandaDB  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 enterprise-level distributed HTAP open source database based on PostgreSQL	Scalable Time Series DBMS based on HBase	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	Document store Key-value store	Relational DBMS	Time Series DBMS	Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #370   Overall #156   Relational DBMS	Score 1.68 Rank #142   Overall #12   Time Series DBMS	Score 0.10 Rank #356   Overall #17   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	opentsdb.net	wakanda.github.io
Technical documentation		docs.opentenbase.org docs.opentenbase.org/­en	opentsdb.net/­docs/­build/­html/­index.html	wakanda.github.io/­doc
Developer	Atos Convergence Creators	OpenAtom Foundation, previously Tencent	currently maintained by Yahoo and other contributors	Wakanda SAS
Initial release	2016		2011	2012
Current release	1703	2.5, January 2024		2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	commercial	Open Source BSD-3	Open Source LGPL	Open Source AGPLv3, extended commercial license available
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++, JavaScript
Server operating systems	Linux	Linux	Linux Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
Typing predefined data types such as float or date	optional	yes	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	no
Secondary indexes	yes	yes	no
SQL Support of SQL	no	yes	no	no
APIs and other access methods	LDAP		HTTP API Telnet API	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C Go Java PHP Python	Erlang Go Java Python R Ruby	JavaScript
Server-side scripts Stored procedures	no		no	yes
Triggers	yes	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding based on HBase	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	selectable replication factor based on HBase	none
MapReduce Offers an API for user-defined Map/Reduce methods			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	Immediate Consistency
Foreign keys Referential integrity	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	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	Access rights for users, groups and roles according to SQL-standard	no	yes
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More resources
	Atos Standard Common Repository	OpenTenBase	OpenTSDB	WakandaDB
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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