DBMS > Atos Standard Common Repository vs. EsgynDB vs. SpatiaLite vs. SQream DB

System Properties Comparison Atos Standard Common Repository vs. EsgynDB vs. SpatiaLite vs. SQream DB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EsgynDB  Xexclude from comparison	SpatiaLite  Xexclude from comparison	SQream DB  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	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Spatial extension of SQLite	a GPU-based, columnar RDBMS for big data analytics workloads
Primary database model	Document store Key-value store	Relational DBMS	Spatial DBMS	Relational DBMS
Secondary database models			Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 1.63 Rank #146   Overall #3   Spatial DBMS	Score 0.74 Rank #224   Overall #103   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.esgyn.cn	www.gaia-gis.it/­fossil/­libspatialite/­index	sqream.com
Technical documentation			www.gaia-gis.it/­gaia-sins/­spatialite_topics.html	docs.sqream.com
Developer	Atos Convergence Creators	Esgyn	Alessandro Furieri	SQream Technologies
Initial release	2016	2015	2008	2017
Current release	1703		5.0.0, August 2020	2022.1.6, December 2022
License Commercial or Open Source	commercial	commercial	Open Source MPL 1.1, GPL v2.0 or LGPL v2.1	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	C++, Java	C++	C++, CUDA, Haskell, Java, Scala
Server operating systems	Linux	Linux	server-less	Linux
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	yes	yes, ANSI Standard SQL Types
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	yes	yes	no
SQL Support of SQL	no	yes	yes	yes
APIs and other access methods	LDAP	ADO.NET JDBC ODBC		.Net JDBC ODBC
Supported programming languages	All languages with LDAP bindings	All languages supporting JDBC/ODBC/ADO.Net		C++ Java JavaScript (Node.js) Python
Server-side scripts Stored procedures	no	Java Stored Procedures	no	user defined functions in Python
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	horizontal and vertical partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication between multi datacenters	none	none
MapReduce Offers an API for user-defined Map/Reduce methods		yes	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	yes	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	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
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	no
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More resources
	Atos Standard Common Repository	EsgynDB	SpatiaLite	SQream DB
DB-Engines blog posts			Spatial database management systems 6 April 2021, Matthias Gelbmann show all
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News			I SQream, you SQream, we all SQream for … data analytics? 5 October 2023, Fierce Network SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku 9 February 2024, insideBIGDATA GPU data warehouse startup SQream lands $39.4M funding round 24 June 2020, SiliconANGLE News SQream Technologies raises $39.4 million for GPU-accelerated databases 24 June 2020, VentureBeat Chinese giant Alibaba leads investment round in Israel big-data startup 30 May 2018, The Times of Israel provided by Google News

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