DBMS > Atos Standard Common Repository vs. Citus vs. Stardog vs. Transwarp StellarDB

System Properties Comparison Atos Standard Common Repository vs. Citus vs. Stardog vs. Transwarp StellarDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Citus  Xexclude from comparison	Stardog  Xexclude from comparison	Transwarp StellarDB  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 hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL	Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Document store Key-value store	Relational DBMS	Graph DBMS RDF store	Graph DBMS
Secondary database models		Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 2.15 Rank #117   Overall #56   Relational DBMS	Score 2.07 Rank #122   Overall #11   Graph DBMS #6   RDF stores	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.citusdata.com	www.stardog.com	www.transwarp.cn/­en/­product/­stellardb
Technical documentation		docs.citusdata.com	docs.stardog.com
Developer	Atos Convergence Creators		Stardog-Union	Transwarp
Initial release	2016	2010	2010
Current release	1703	8.1, December 2018	7.3.0, May 2020
License Commercial or Open Source	commercial	Open Source AGPL, commercial license also available	commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students	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
Server operating systems	Linux	Linux	Linux macOS Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free and OWL/RDFS-schema support
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	yes specific XML type available, but no XML query functionality	no Import/export of XML data possible
Secondary indexes	yes	yes	yes supports real-time indexing in full-text and geospatial
SQL Support of SQL	no	yes standard, with numerous extensions	Yes, compatible with all major SQL variants through dedicated BI/SQL Server	SQL-like query language
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	GraphQL query language HTTP API Jena RDF API OWL RDF4J API Sesame REST HTTP Protocol SNARL SPARQL Spring Data Stardog Studio TinkerPop 3	OpenCypher
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	.Net Clojure Groovy Java JavaScript Python Ruby
Server-side scripts Stored procedures	no	user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.	user defined functions and aggregates, HTTP Server extensions in Java
Triggers	yes	yes	yes via event handlers
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication other methods possible by using 3rd party extensions	Multi-source replication in HA-Cluster
MapReduce Offers an API for user-defined Map/Reduce methods		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency in HA-Cluster
Foreign keys Referential integrity	no	yes	yes relationships in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	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	Access rights for users and roles	yes
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	Citus	Stardog	Transwarp StellarDB
Recent citations in the news		Ubicloud wants to build an open source alternative to AWS 5 March 2024, TechCrunch Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL ... 24 January 2019, Microsoft Ubicloud reels in $16M for its open-source cloud platform 5 March 2024, SiliconANGLE News Distributed PostgreSQL Benchmarks: Azure Cosmos DB, CockroachDB, and YugabyteDB 8 July 2023, InfoQ.com Microsoft Benchmarks Distributed PostgreSQL DBs 10 July 2023, Datanami provided by Google News

Share this page