DBMS > Atos Standard Common Repository vs. Machbase Neo vs. mSQL vs. TimescaleDB

System Properties Comparison Atos Standard Common Repository vs. Machbase Neo vs. mSQL vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison	mSQL Mini SQL  Xexclude from comparison	TimescaleDB  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	TimeSeries DBMS for AIoT and BigData	mSQL (Mini SQL) is a simple and lightweight RDBMS	A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Time Series DBMS
Secondary database models				Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.17 Rank #337   Overall #30   Time Series DBMS	Score 1.27 Rank #169   Overall #76   Relational DBMS	Score 4.46 Rank #71   Overall #5   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	machbase.com	hughestech.com.au/­products/­msql	www.timescale.com
Technical documentation		machbase.com/­dbms		docs.timescale.com
Developer	Atos Convergence Creators	Machbase	Hughes Technologies	Timescale
Initial release	2016	2013	1994	2017
Current release	1703	V8.0, August 2023	4.4, October 2021	2.15.0, May 2024
License Commercial or Open Source	commercial	commercial free test version available	commercial free licenses can be provided	Open Source Apache 2.0
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	C
Server operating systems	Linux	Linux macOS Windows	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	yes	numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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	yes
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	SQL-like query language	A subset of ANSI SQL is implemented no subqueries, aggregate functions, views, foreign keys, triggers	yes full PostgreSQL SQL syntax
APIs and other access methods	LDAP	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	JDBC ODBC	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala	C C++ Delphi Java Perl PHP Tcl	.Net C C++ Delphi Java JDBC JavaScript Perl PHP Python R Ruby Scheme Tcl
Server-side scripts Stored procedures	no	no	no	user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	yes, across time and space (hash partitioning) attributes
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor	none	Source-replica replication with hot standby and reads on replicas
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		none	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	no	yes
Durability Support for making data persistent	yes	no	yes	yes
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	no	no
User concepts Access control	LDAP bind authentication	simple password-based access control	no	fine grained access rights 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	Machbase Neo Former name was Infiniflux	mSQL Mini SQL	TimescaleDB
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News		Higher Education PS rules out ghost students before PAC 29 November 2018, diggers.news provided by Google News	TimescaleDB Is a Vector Database Now, Too 25 September 2023, Datanami Timescale Acquires PopSQL to Bring a Modern, Collaborative SQL GUI to PostgreSQL Developers 4 April 2024, PR Newswire Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL 18 March 2019, Microsoft Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data 22 February 2022, Business Wire Timescale announces $15M investment and new enterprise version of TimescaleDB 29 January 2019, TechCrunch provided by Google News

Share this page