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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	LeanXcale  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	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	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	Key-value store Relational 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 0.36 Rank #280   Overall #40   Key-value stores #129   Relational 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	www.leanxcale.com	www.oracle.com/­database/­nosql/­technologies/­nosql	origodb.com
Technical documentation			docs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html	origodb.com/­docs
Developer	Atos Convergence Creators	LeanXcale	Oracle	Robert Friberg et al
Initial release	2016	2015	2011	2009 under the name LiveDB
Current release	1703		24.1, May 2024
License Commercial or Open Source	commercial	commercial	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	C#
Server operating systems	Linux		Linux Solaris SPARC/x86	Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	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		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 can be achieved using .NET
Secondary indexes	yes		yes	yes
SQL Support of SQL	no	yes through Apache Derby	SQL-like DML and DDL statements	no
APIs and other access methods	LDAP	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	RESTful HTTP API	.NET Client API HTTP API LINQ
Supported programming languages	All languages with LDAP bindings	C Java Scala	C C# Go Java JavaScript (Node.js) Python	.Net
Server-side scripts Stored procedures	no		no	yes
Triggers	yes		no	yes Domain Events
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding	horizontal partitioning client side managed; servers are not synchronized
Replication methods Methods for redundantly storing data on multiple nodes	yes		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	Immediate Consistency	Eventual Consistency Immediate Consistency depending on configuration
Foreign keys Referential integrity	no	yes	no	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	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	yes	yes off heap cache	yes
User concepts Access control	LDAP bind authentication		Access rights for users and roles	Role based authorization
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More resources
	Atos Standard Common Repository	LeanXcale	Oracle NoSQL	OrigoDB
Recent citations in the 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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