DBMS > Atos Standard Common Repository vs. Geode vs. Hawkular Metrics vs. searchxml

System Properties Comparison Atos Standard Common Repository vs. Geode vs. Hawkular Metrics vs. searchxml

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Geode  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	searchxml  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	Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	DBMS for structured and unstructured content wrapped with an application server
Primary database model	Document store Key-value store	Key-value store	Time Series DBMS	Native XML DBMS Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.86 Rank #134   Overall #24   Key-value stores	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	geode.apache.org	www.hawkular.org	www.searchxml.net/­category/­products
Technical documentation		geode.apache.org/­docs	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	www.searchxml.net/­support/­handouts
Developer	Atos Convergence Creators	Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.	Community supported by Red Hat	informationpartners gmbh
Initial release	2016	2002	2014	2015
Current release	1703	1.1, February 2017		1.0
License Commercial or Open Source	commercial	Open Source Apache Version 2; commercial licenses available as Gemfire	Open Source Apache 2.0	commercial
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	All OS with a Java VM the JDK (8 or later) is also required	Linux OS X Windows	Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	schema-free
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	yes
Secondary indexes	yes	no	no	yes
SQL Support of SQL	no	SQL-like query language (OQL)	no	no
APIs and other access methods	LDAP	Java Client API Memcached protocol RESTful HTTP API	HTTP REST	RESTful HTTP API WebDAV XQuery XSLT
Supported programming languages	All languages with LDAP bindings	.Net All JVM based languages C++ Groovy Java Scala	Go Java Python Ruby	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	user defined functions	no	yes on the application server
Triggers	yes	yes Cache Event Listeners	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	Multi-source replication	selectable replication factor based on Cassandra	yes sychronisation to multiple collections
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	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	yes, on a single node	no	multiple readers, single writer
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	yes	no	no
User concepts Access control	LDAP bind authentication	Access rights per client and object definable	no	Domain, group and role-based access control at the document level and for application services
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More resources
	Atos Standard Common Repository	Geode	Hawkular Metrics	searchxml
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	This is how much one of the most expensive gems costs at the Tucson gem show 11 February 2024, KGUN 9 Tucson News Victor I. Cazares Wants NYTW to Call for Ceasefire in Gaza 22 February 2024, Vulture Event-Driven Architectures with Apache Geode and Spring Integration 20 March 2019, InfoQ.com 1. Introduction to Pivotal GemFire In-Memory Data Grid and Apache Geode - Scaling Data Services with Pivotal ... 15 November 2018, O'Reilly Media HPE buys query acceleration platform Ampool to boost Ezmeral hybrid cloud analytics 7 July 2021, SiliconANGLE News 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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