DBMS > Atos Standard Common Repository vs. InfinityDB vs. LeanXcale vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. InfinityDB vs. LeanXcale vs. SiteWhere

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	InfinityDB  Xexclude from comparison	LeanXcale  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 Java embedded Key-Value Store which extends the Java Map interface	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities	M2M integration platform for persisting/querying time series data
Primary database model	Document store Key-value store	Key-value store	Key-value store Relational DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS	Score 0.06 Rank #383   Overall #43   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	boilerbay.com	www.leanxcale.com	github.com/­sitewhere/­sitewhere
Technical documentation		boilerbay.com/­infinitydb/­manual		sitewhere1.sitewhere.io/­index.html
Developer	Atos Convergence Creators	Boiler Bay Inc.	LeanXcale	SiteWhere
Initial release	2016	2002	2015	2010
Current release	1703	4.0
License Commercial or Open Source	commercial	commercial	commercial	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	Java		Java
Server operating systems	Linux	All OS with a Java VM		Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes	predefined scheme
Typing predefined data types such as float or date	optional	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays		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	no manual creation possible, using inversions based on multi-value capability		no
SQL Support of SQL	no	no	yes through Apache Derby	no
APIs and other access methods	LDAP	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector	HTTP REST
Supported programming languages	All languages with LDAP bindings	Java	C Java Scala
Server-side scripts Stored procedures	no	no
Triggers	yes	no
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	none		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 READ-COMMITTED or SERIALIZED	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no manual creation possible, using inversions based on multi-value capability	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID Optimistic locking for transactions; no isolation for bulk loads	ACID	no
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	yes	no
User concepts Access control	LDAP bind authentication	no		Users with fine-grained authorization concept
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	InfinityDB	LeanXcale	SiteWhere
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos 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 provided by Google News

Share this page