DBMS > Atos Standard Common Repository vs. Greenplum vs. Hawkular Metrics vs. Newts

System Properties Comparison Atos Standard Common Repository vs. Greenplum vs. Hawkular Metrics vs. Newts

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Greenplum  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Newts  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	Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Time Series DBMS based on Cassandra
Primary database model	Document store Key-value store	Relational DBMS	Time Series DBMS	Time Series DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 8.08 Rank #48   Overall #31   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.07 Rank #375   Overall #41   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	greenplum.org	www.hawkular.org	opennms.github.io/­newts
Technical documentation		docs.greenplum.org	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	github.com/­OpenNMS/­newts/­wiki
Developer	Atos Convergence Creators	Pivotal Software Inc.	Community supported by Red Hat	OpenNMS Group
Initial release	2016	2005	2014	2014
Current release	1703	7.0.0, September 2023
License Commercial or Open Source	commercial	Open Source Apache 2.0	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
Server operating systems	Linux	Linux	Linux OS X Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	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	yes since Version 4.2	no	no
Secondary indexes	yes	yes	no	no
SQL Support of SQL	no	yes	no	no
APIs and other access methods	LDAP	JDBC ODBC	HTTP REST	HTTP REST Java API
Supported programming languages	All languages with LDAP bindings	C Java Perl Python R	Go Java Python Ruby	Java
Server-side scripts Stored procedures	no	yes	no	no
Triggers	yes	yes	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	Sharding based on Cassandra	Sharding based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	selectable replication factor based on Cassandra	selectable replication factor based on Cassandra
MapReduce Offers an API for user-defined Map/Reduce methods		yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	no
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	no	no
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	no	no
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More resources
	Atos Standard Common Repository	Greenplum	Hawkular Metrics	Newts
Recent citations in the news		VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale | Amazon Web Services 9 September 2019, AWS Blog 1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book] 6 December 2018, oreilly.com Greenplum 6 ventures outside the analytic box | ZDNET 19 March 2019, ZDNet Greenplum 6 review: Jack of all trades, master of some 7 November 2019, InfoWorld EMC Introduces Breakthrough 'Big Data' Computing System 13 October 2010, PR Newswire 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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