DBMS > Atos Standard Common Repository vs. Ehcache vs. Hawkular Metrics vs. Lovefield

System Properties Comparison Atos Standard Common Repository vs. Ehcache vs. Hawkular Metrics vs. Lovefield

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Ehcache  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Lovefield  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	A widely adopted Java cache with tiered storage options	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Embeddable relational database for web apps written in pure JavaScript
Primary database model	Document store Key-value store	Key-value store	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 4.64 Rank #68   Overall #8   Key-value stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ehcache.org	www.hawkular.org	google.github.io/­lovefield
Technical documentation		www.ehcache.org/­documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Atos Convergence Creators	Terracotta Inc, owned by Software AG	Community supported by Red Hat	Google
Initial release	2016	2009	2014	2014
Current release	1703	3.10.0, March 2022		2.1.12, February 2017
License Commercial or Open Source	commercial	Open Source Apache Version 2; commercial licenses available	Open Source Apache 2.0	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	Java	Java	JavaScript
Server operating systems	Linux	All OS with a Java VM	Linux OS X Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
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	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	no	no	no
Secondary indexes	yes	no	no	yes
SQL Support of SQL	no	no	no	SQL-like query language via JavaScript builder pattern
APIs and other access methods	LDAP	JCache	HTTP REST
Supported programming languages	All languages with LDAP bindings	Java	Go Java Python Ruby	JavaScript
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	yes Cache Event Listeners	yes via Hawkular Alerting	Using read-only observers
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding by using Terracotta Server	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes by using Terracotta Server	selectable replication factor based on Cassandra	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	Tunable Consistency (Strong, Eventual, Weak)	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
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	yes supports JTA and can work as an XA resource	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes using a tiered cache-storage approach	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no	yes using MemoryDB
User concepts Access control	LDAP bind authentication	no	no	no
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More resources
	Atos Standard Common Repository	Ehcache	Hawkular Metrics	Lovefield
Recent citations in the news		Scaling Australia's Most Popular Online News Sites with Ehcache 6 December 2010, InfoQ.com Atlassian asks customers to patch critical Jira vulnerability 22 July 2021, BleepingComputer Critical Jira Flaw in Atlassian Could Lead to RCE 22 July 2021, Threatpost DZone Coding Java JBoss 5 to 7 in 11 steps 9 January 2014, dzone.com provided by Google 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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