DBMS > Atos Standard Common Repository vs. KairosDB vs. Oracle NoSQL vs. OrigoDB

System Properties Comparison Atos Standard Common Repository vs. KairosDB vs. Oracle NoSQL vs. OrigoDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	KairosDB  Xexclude from comparison	Oracle NoSQL  Xexclude from comparison	OrigoDB  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	Distributed Time Series DBMS based on Cassandra or H2	A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes	A fully ACID in-memory object graph database
Primary database model	Document store Key-value store	Time Series DBMS	Document store Key-value store Relational DBMS	Document store Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.67 Rank #233   Overall #20   Time Series DBMS	Score 3.05 Rank #97   Overall #17   Document stores #16   Key-value stores #50   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­kairosdb/­kairosdb	www.oracle.com/­database/­nosql/­technologies/­nosql	origodb.com
Technical documentation		kairosdb.github.io	docs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html	origodb.com/­docs
Developer	Atos Convergence Creators		Oracle	Robert Friberg et al
Initial release	2016	2013	2011	2009 under the name LiveDB
Current release	1703	1.2.2, November 2018	24.1, May 2024
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Proprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)	Open Source
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	C#
Server operating systems	Linux	Linux OS X Windows	Linux Solaris SPARC/x86	Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	Support Fixed schema and Schema-less deployment with the ability to interoperate between them.	yes
Typing predefined data types such as float or date	optional	yes	optional	User defined using .NET types and collections
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	no can be achieved using .NET
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	SQL-like DML and DDL statements	no
APIs and other access methods	LDAP	Graphite protocol HTTP REST Telnet API	RESTful HTTP API	.NET Client API HTTP API LINQ
Supported programming languages	All languages with LDAP bindings	Java JavaScript Node.js PHP Python	C C# Go Java JavaScript (Node.js) Python	.Net
Server-side scripts Stored procedures	no	no	no	yes
Triggers	yes	no	no	yes Domain Events
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding	horizontal partitioning client side managed; servers are not synchronized
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	with Hadoop integration	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency depending on configuration
Foreign keys Referential integrity	no	no	no	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	configurable ACID within a storage node (=shard)	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes Write ahead log
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes off heap cache	yes
User concepts Access control	LDAP bind authentication	simple password-based access control	Access rights for users and roles	Role based authorization
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More resources
	Atos Standard Common Repository	KairosDB	Oracle NoSQL	OrigoDB
Recent citations in the news		Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software Expo: Real Time A/B Testing and Monitoring with Spark Streaming and Kafka at Walmart Labs 24 May 2019, InfoQ.com provided by Google News	Oracle Beefs Up Its NoSQL Database Offering 31 May 2024, Data Center Knowledge OpenWorld 2013: Oracle NoSQL Database On the Rise? 13 December 2023, Channel Futures Blog Theme - Details 21 August 2023, blogs.oracle.com We built a geo-distributed, serverless modern app using the Oracle NoSQL Database Cloud Service 18 November 2021, blogs.oracle.com Oracle NoSQL database comes to the cloud 2 April 2020, TechTarget provided by Google News

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