DBMS > Atos Standard Common Repository vs. Blueflood vs. GridGain vs. LeanXcale

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. GridGain vs. LeanXcale

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Blueflood  Xexclude from comparison	GridGain  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	GridGain is an in-memory computing platform, built on Apache Ignite	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	Key-value store Relational 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 1.55 Rank #150   Overall #26   Key-value stores #70   Relational 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.gridgain.com	www.leanxcale.com
Technical documentation		github.com/­rax-maas/­blueflood/­wiki	www.gridgain.com/­docs/­index.html
Developer	Atos Convergence Creators	Rackspace	GridGain Systems, Inc.	LeanXcale
Initial release	2016	2013	2007	2015
Current release	1703		GridGain 8.5.1
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	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	Java, C++, .Net
Server operating systems	Linux	Linux OS X	Linux OS X Solaris Windows
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	yes
Secondary indexes	yes	no	yes
SQL Support of SQL	no	no	ANSI-99 for query and DML statements, subset of DDL	yes through Apache Derby
APIs and other access methods	LDAP	HTTP REST	HDFS API Hibernate JCache JDBC ODBC Proprietary protocol RESTful HTTP API Spring Data	JDBC Kafka Connector ODBC proprietary key/value interface Spark Connector
Supported programming languages	All languages with LDAP bindings		C# C++ Java PHP Python Ruby Scala	C Java Scala
Server-side scripts Stored procedures	no	no	yes (compute grid and cache interceptors can be used instead)
Triggers	yes	no	yes (cache interceptors and events)
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	yes (replicated cache)
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes (compute grid and hadoop accelerator)	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	Immediate 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	ACID	ACID
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	yes
User concepts Access control	LDAP bind authentication	no	Security Hooks for custom implementations
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More resources
	Atos Standard Common Repository	Blueflood	GridGain	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	GridGain in-memory data and generative AI – Blocks and Files 10 May 2024, Blocks & Files GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024 8 February 2024, PR Newswire GridGain's 2023 Growth Positions Company for Strong 2024 24 January 2024, PR Newswire GridGain: Product Overview and Analysis 5 June 2019, eWeek GridGain Releases Conference Schedule for Virtual Apache Ignite Summit 2023 1 June 2023, Datanami provided by Google News

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