DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. HyperSQL vs. Tkrzw

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. HyperSQL vs. Tkrzw

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Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	HyperSQL also known as HSQLDB  Xexclude from comparison	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet  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	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Multithreaded, transactional RDBMS written in Java also known as HSQLDB	A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database model	Document store Key-value store	Time Series DBMS	Relational DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 3.23 Rank #93   Overall #48   Relational DBMS	Score 0.07 Rank #372   Overall #57   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	hsqldb.org	dbmx.net/­tkrzw
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	hsqldb.org/­web/­hsqlDocsFrame.html
Developer	Atos Convergence Creators	Community supported by Red Hat		Mikio Hirabayashi
Initial release	2016	2014	2001	2020
Current release	1703		2.7.2, June 2023	0.9.3, August 2020
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source based on BSD license	Open Source Apache Version 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	Java	Java	C++
Server operating systems	Linux	Linux OS X Windows	All OS with a Java VM Embedded (into Java applications) and Client-Server operating modes	Linux macOS
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	no
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	no
Secondary indexes	yes	no	yes
SQL Support of SQL	no	no	yes	no
APIs and other access methods	LDAP	HTTP REST	HTTP API JDBC via HTTP JDBC ODBC
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	All languages supporting JDBC/ODBC Java	C++ Java Python Ruby
Server-side scripts Stored procedures	no	no	Java, SQL	no
Triggers	yes	yes via Hawkular Alerting	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	none	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	none	none
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	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no
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	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	yes using specific database classes
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	no
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More resources
	Atos Standard Common Repository	Hawkular Metrics	HyperSQL also known as HSQLDB	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet
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	HyperSQL DataBase flaw leaves library vulnerable to RCE 24 October 2022, The Daily Swig Introduction to JDBC with HSQLDB tutorial 14 November 2022, TheServerSide.com provided by Google News

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