DBMS > Atos Standard Common Repository vs. Blueflood vs. IBM Db2 Event Store vs. LeanXcale

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. IBM Db2 Event Store vs. LeanXcale

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Blueflood  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	LeanXcale  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	Scalable TimeSeries DBMS based on Cassandra	Distributed Event Store optimized for Internet of Things use cases	A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database model	Document store Key-value store	Time Series DBMS	Event Store Time Series DBMS	Key-value store Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.13 Rank #346   Overall #33   Time Series DBMS	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.36 Rank #280   Overall #40   Key-value stores #129   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	blueflood.io	www.ibm.com/­products/­db2-event-store	www.leanxcale.com
Technical documentation		github.com/­rax-maas/­blueflood/­wiki	www.ibm.com/­docs/­en/­db2-event-store
Developer	Atos Convergence Creators	Rackspace	IBM	LeanXcale
Initial release	2016	2013	2017	2015
Current release	1703		2.0
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial free developer edition available	commercial
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 and C++
Server operating systems	Linux	Linux OS X	Linux Linux, macOS, Windows for the developer addition
Data scheme	Schema and schema-less with LDAP views	predefined scheme	yes	yes
Typing predefined data types such as float or date	optional	yes	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	no
SQL Support of SQL	no	no	yes through the embedded Spark runtime	yes through Apache Derby
APIs and other access methods	LDAP	HTTP REST	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector
Supported programming languages	All languages with LDAP bindings		C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	C Java Scala
Server-side scripts Stored procedures	no	no	yes
Triggers	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Active-active shard replication
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	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	No - written data is immutable	yes
Durability Support for making data persistent	yes	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes	yes
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Blueflood	IBM Db2 Event Store	LeanXcale
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Real-Time Performance and Health Monitoring Using Netdata 2 September 2019, CNX Software provided by Google News	Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, IBM How IBM Is Turning Db2 into an 'AI Database' 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro provided by Google News

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