DBMS > Atos Standard Common Repository vs. OrigoDB vs. SpatiaLite vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. OrigoDB vs. SpatiaLite vs. Splice Machine

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	OrigoDB  Xexclude from comparison	SpatiaLite  Xexclude from comparison	Splice Machine  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 fully ACID in-memory object graph database	Spatial extension of SQLite	Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database model	Document store Key-value store	Document store Object oriented DBMS	Spatial DBMS	Relational DBMS
Secondary database models			Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS	Score 1.63 Rank #146   Overall #3   Spatial DBMS	Score 0.54 Rank #252   Overall #115   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	origodb.com	www.gaia-gis.it/­fossil/­libspatialite/­index	splicemachine.com
Technical documentation		origodb.com/­docs	www.gaia-gis.it/­gaia-sins/­spatialite_topics.html	splicemachine.com/­how-it-works
Developer	Atos Convergence Creators	Robert Friberg et al	Alessandro Furieri	Splice Machine
Initial release	2016	2009 under the name LiveDB	2008	2014
Current release	1703		5.0.0, August 2020	3.1, March 2021
License Commercial or Open Source	commercial	Open Source	Open Source MPL 1.1, GPL v2.0 or LGPL v2.1	Open Source AGPL 3.0, commercial license available
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#	C++	Java
Server operating systems	Linux	Linux Windows	server-less	Linux OS X Solaris Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	User defined using .NET types and collections	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 can be achieved using .NET	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	no	yes	yes
APIs and other access methods	LDAP	.NET Client API HTTP API LINQ		JDBC Native Spark Datasource ODBC
Supported programming languages	All languages with LDAP bindings	.Net		C# C++ Java JavaScript (Node.js) Python R Scala
Server-side scripts Stored procedures	no	yes	no	yes Java
Triggers	yes	yes Domain Events	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	horizontal partitioning client side managed; servers are not synchronized	none	Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	none	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	Yes, via Full Spark Integration
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration			Immediate Consistency
Foreign keys Referential integrity	no	depending on model	yes	yes
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, multi-version concurrency control (MVCC)
Durability Support for making data persistent	yes	yes Write ahead log	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	yes	yes
User concepts Access control	LDAP bind authentication	Role based authorization	no	Access rights for users, groups and roles according to SQL-standard
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More resources
	Atos Standard Common Repository	OrigoDB	SpatiaLite	Splice Machine
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			Machine learning data pipeline outfit Splice Machine files for insolvency 26 August 2021, The Register Splice Machine Launches Feature Store to Simplify Feature Engineering 19 January 2021, Datanami Distributed SQL System Review: Snowflake vs Splice Machine 18 September 2019, Towards Data Science Big Data News: Splice Machine, Carpathia, Altiscale, DataGravity 11 February 2014, Data Center Knowledge Hadoop-based RDBMS Now Available from Splice 12 May 2014, Datanami provided by Google News

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