DBMS > Atos Standard Common Repository vs. LeanXcale vs. Oracle Berkeley DB vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. LeanXcale vs. Oracle Berkeley DB vs. XTDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	LeanXcale  Xexclude from comparison	Oracle Berkeley DB  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	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	Widely used in-process key-value store	A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database model	Document store Key-value store	Key-value store Relational DBMS	Key-value store supports sorted and unsorted key sets Native XML DBMS in the Oracle Berkeley DB XML version	Document store
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 2.01 Rank #126   Overall #21   Key-value stores #3   Native XML DBMS	Score 0.18 Rank #332   Overall #46   Document stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.leanxcale.com	www.oracle.com/­database/­technologies/­related/­berkeleydb.html	github.com/­xtdb/­xtdb www.xtdb.com
Technical documentation			docs.oracle.com/­cd/­E17076_05/­html/­index.html	www.xtdb.com/­docs
Developer	Atos Convergence Creators	LeanXcale	Oracle originally developed by Sleepycat, which was acquired by Oracle	Juxt Ltd.
Initial release	2016	2015	1994	2019
Current release	1703		18.1.40, May 2020	1.19, September 2021
License Commercial or Open Source	commercial	commercial	Open Source commercial license available	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		C, Java, C++ (depending on the Berkeley DB edition)	Clojure
Server operating systems	Linux		AIX Android FreeBSD iOS Linux OS X Solaris VxWorks Windows	All OS with a Java 8 (and higher) VM 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		no	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		yes only with the Berkeley DB XML edition	no
Secondary indexes	yes		yes	yes
SQL Support of SQL	no	yes through Apache Derby	yes SQL interfaced based on SQLite is available	limited SQL, making use of Apache Calcite
APIs and other access methods	LDAP	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector		HTTP REST JDBC
Supported programming languages	All languages with LDAP bindings	C Java Scala	.Net Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET others Third-party libraries to manipulate Berkeley DB files are available for many languages C C# C++ Java JavaScript (Node.js) 3rd party binding Perl Python Tcl	Clojure Java
Server-side scripts Stored procedures	no		no	no
Triggers	yes		yes only for the SQL API	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes		Source-replica replication	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
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	ACID	ACID
Concurrency Support for concurrent manipulation of data	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	yes	yes
User concepts Access control	LDAP bind authentication		no
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More resources
	Atos Standard Common Repository	LeanXcale	Oracle Berkeley DB	XTDB formerly named Crux
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		Margo Seltzer Named ACM Athena Lecturer for Technical and Mentoring Contributions 26 April 2023, Datanami ACM recognizes far-reaching technical achievements with special awards 26 May 2021, EurekAlert Margo I. Seltzer | Berkman Klein Center 18 August 2020, Berkman Klein Center Oracle buys Sleepycat Software 14 February 2006, MarketWatch Database Trends Report: SQL Beats NoSQL, MySQL Most Popular -- ADTmag 5 March 2019, ADT Magazine provided by Google News

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