DBMS > Atos Standard Common Repository vs. Axibase vs. Blazegraph vs. Machbase Neo

System Properties Comparison Atos Standard Common Repository vs. Axibase vs. Blazegraph vs. Machbase Neo

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Axibase  Xexclude from comparison	Blazegraph  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization	High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.	TimeSeries DBMS for AIoT and BigData
Primary database model	Document store Key-value store	Time Series DBMS	Graph DBMS RDF store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.35 Rank #282   Overall #25   Time Series DBMS	Score 0.81 Rank #213   Overall #19   Graph DBMS #8   RDF stores	Score 0.17 Rank #337   Overall #30   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	axibase.com/­docs/­atsd/­finance	blazegraph.com	machbase.com
Technical documentation			wiki.blazegraph.com	machbase.com/­dbms
Developer	Atos Convergence Creators	Axibase Corporation	Blazegraph	Machbase
Initial release	2016	2013	2006	2013
Current release	1703	15585	2.1.5, March 2019	V8.0, August 2023
License Commercial or Open Source	commercial	commercial Community Edition (single node) is free, Enterprise Edition (distributed) is paid	Open Source extended commercial license available	commercial free test version 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	Java	Java	C
Server operating systems	Linux	Linux	Linux OS X Windows	Linux macOS Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
Typing predefined data types such as float or date	optional	yes short, integer, long, float, double, decimal, string	yes RDF literal types	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	yes
SQL Support of SQL	no	SQL-like query language	SPARQL is used as query language	SQL-like query language
APIs and other access methods	LDAP	JDBC Proprietary protocol (Network API) RESTful HTTP API	Java API RESTful HTTP API SPARQL QUERY SPARQL UPDATE TinkerPop 3	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC
Supported programming languages	All languages with LDAP bindings	Go Java PHP Python R Ruby	.Net C C++ Java JavaScript PHP Python Ruby	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala
Server-side scripts Stored procedures	no	yes	yes	no
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	yes	selectable replication factor
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 or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	no	yes Relationships in Graphs	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	no
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes			yes volatile and lookup table
User concepts Access control	LDAP bind authentication		Security and Authentication via Web Application Container (Tomcat, Jetty)	simple password-based access control
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More resources
	Atos Standard Common Repository	Axibase	Blazegraph	Machbase Neo Former name was Infiniflux
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	The Ultimate ATV Test: Suzuki's King Quad 750 AXI Rugged Package vs. Alaska's Hunting Season 20 April 2021, Outdoor Life provided by Google News	Back to the future: Does graph database success hang on query language? 5 March 2018, ZDNet Harnessing GPUs Delivers a Big Speedup for Graph Analytics 15 December 2015, Datanami This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines 19 August 2023, MarkTechPost Faster with GPUs: 5 turbocharged databases 26 September 2016, InfoWorld provided by Google News

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