DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. JSqlDb vs. PostGIS

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. JSqlDb vs. PostGIS

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	JSqlDb  Xexclude from comparison	PostGIS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	JavaScript Query Language Database, stores JavaScript objects and primitives	Spatial extension of PostgreSQL
Primary database model	Document store Key-value store	Time Series DBMS	Document store Object oriented DBMS	Spatial DBMS
Secondary database models				Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS		Score 21.72 Rank #29   Overall #1   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	jsqldb.org (offline)	postgis.net
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide		postgis.net/­documentation
Developer	Atos Convergence Creators	Community supported by Red Hat	Konrad von Backstrom
Initial release	2016	2014	2018	2005
Current release	1703		0.8, December 2018	3.4.2, February 2024
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source	Open Source GPL v2.0
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	Java		C
Server operating systems	Linux	Linux OS X Windows	Linux macOS Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes
Typing predefined data types such as float or date	optional	yes	no	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	yes
Secondary indexes	yes	no	no	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	LDAP	HTTP REST
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	JavaScript
Server-side scripts Stored procedures	no	no	functions in JavaScript	user defined functions
Triggers	yes	yes via Hawkular Alerting	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	none	yes based on PostgreSQL
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	none	yes based on PostgreSQL
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	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra		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		ACID
Concurrency Support for concurrent manipulation of data	yes	yes		yes
Durability Support for making data persistent	yes	yes	yes using RocksDB	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no		no
User concepts Access control	LDAP bind authentication	no		yes based on PostgreSQL
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More resources
	Atos Standard Common Repository	Hawkular Metrics	JSqlDb	PostGIS
DB-Engines blog posts				Spatial database management systems 6 April 2021, Matthias Gelbmann show all
Recent citations in the news		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News

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