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

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

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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	SiteWhere  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	M2M integration platform for persisting/querying time series data
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	Time Series 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 2.01 Rank #126   Overall #21   Key-value stores #3   Native XML DBMS	Score 0.06 Rank #383   Overall #43   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.leanxcale.com	www.oracle.com/­database/­technologies/­related/­berkeleydb.html	github.com/­sitewhere/­sitewhere
Technical documentation			docs.oracle.com/­cd/­E17076_05/­html/­index.html	sitewhere1.sitewhere.io/­index.html
Developer	Atos Convergence Creators	LeanXcale	Oracle originally developed by Sleepycat, which was acquired by Oracle	SiteWhere
Initial release	2016	2015	1994	2010
Current release	1703		18.1.40, May 2020
License Commercial or Open Source	commercial	commercial	Open Source commercial license available	Open Source Common Public Attribution License Version 1.0
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)	Java
Server operating systems	Linux		AIX Android FreeBSD iOS Linux OS X Solaris VxWorks Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	predefined scheme
Typing predefined data types such as float or date	optional		no	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		yes only with the Berkeley DB XML edition	no
Secondary indexes	yes		yes	no
SQL Support of SQL	no	yes through Apache Derby	yes SQL interfaced based on SQLite is available	no
APIs and other access methods	LDAP	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector		HTTP REST
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
Server-side scripts Stored procedures	no		no
Triggers	yes		yes only for the SQL API
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		none	Sharding based on HBase
Replication methods Methods for redundantly storing data on multiple nodes	yes		Source-replica replication	selectable replication factor based on HBase
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
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	no
Concurrency Support for concurrent manipulation of data	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	yes	no
User concepts Access control	LDAP bind authentication		no	Users with fine-grained authorization concept
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More resources
	Atos Standard Common Repository	LeanXcale	Oracle Berkeley DB	SiteWhere
Recent citations in the news			Margo Seltzer Named ACM Athena Lecturer for Technical and Mentoring Contributions 26 April 2023, HPCwire ACM recognizes far-reaching technical achievements with special awards 26 May 2021, EurekAlert Database Trends Report: SQL Beats NoSQL, MySQL Most Popular -- ADTmag 5 March 2019, ADT Magazine Oracle buys Sleepycat Software 14 February 2006, MarketWatch Margo I. Seltzer | Berkman Klein Center 18 August 2020, Berkman Klein Center provided by Google News	SiteWhere: An open platform for connected devices 11 July 2017, Open Source For You Ten Popular IoT Platforms You Should be Aware of 27 March 2023, Open Source For You 11 Best Open source IoT Platforms To Develop Smart Projects 9 March 2023, H2S Media provided by Google News

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