DBMS > Atos Standard Common Repository vs. gStore vs. SiteWhere vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. gStore vs. SiteWhere vs. Splice Machine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	gStore  Xexclude from comparison	SiteWhere  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 native Graph DBMS to store and maintain very large RDF datasets.	M2M integration platform for persisting/querying time series data	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	Graph DBMS RDF store	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.14 Rank #342   Overall #34   Graph DBMS #16   RDF stores	Score 0.06 Rank #383   Overall #43   Time Series DBMS	Score 0.54 Rank #252   Overall #115   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	en.gstore.cn	github.com/­sitewhere/­sitewhere	splicemachine.com
Technical documentation		en.gstore.cn/­#/­enDocs	sitewhere1.sitewhere.io/­index.html	splicemachine.com/­how-it-works
Developer	Atos Convergence Creators		SiteWhere	Splice Machine
Initial release	2016	2016	2010	2014
Current release	1703	1.2, November 2023		3.1, March 2021
License Commercial or Open Source	commercial	Open Source BSD	Open Source Common Public Attribution License Version 1.0	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++	Java	Java
Server operating systems	Linux	Linux	Linux OS X Windows	Linux OS X Solaris Windows
Data scheme	Schema and schema-less with LDAP views	schema-free and OWL/RDFS-schema support	predefined scheme	yes
Typing predefined data types such as float or date	optional	yes	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	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	LDAP	HTTP API SPARQL 1.1	HTTP REST	JDBC Native Spark Datasource ODBC
Supported programming languages	All languages with LDAP bindings	C++ Java JavaScript (Node.js) PHP Python		C# C++ Java JavaScript (Node.js) Python R Scala
Server-side scripts Stored procedures	no	yes		yes Java
Triggers	yes			yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		Sharding based on HBase	Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes		selectable replication factor based on HBase	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	Immediate Consistency
Foreign keys Referential integrity	no		no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes	no	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	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	yes
User concepts Access control	LDAP bind authentication	Users, roles and permissions, Role-Based Access Control (RBAC) supported	Users with fine-grained authorization concept	Access rights for users, groups and roles according to SQL-standard
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	gStore	SiteWhere	Splice Machine
Recent citations in the news			SiteWhere: An open platform for connected devices 11 July 2017, Open Source For You 11 Best Open source IoT Platforms To Develop Smart Projects 9 March 2023, H2S Media provided by Google News	Machine learning data pipeline outfit Splice Machine files for insolvency 26 August 2021, The Register Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine ... 19 January 2021, PR Newswire Splice Machine Launches Feature Store to Simplify Feature Engineering 19 January 2021, Datanami Real-time machine learning with Splice Machine's ML Manager 17 April 2019, TechTarget How To Axe Db2 But Keep Your Code 10 March 2020, Towards Data Science provided by Google News

Share this page