DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. IBM Cloudant vs. Postgres-XL

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. IBM Cloudant vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	IBM Cloudant  Xexclude from comparison	Postgres-XL  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.	Database as a Service offering based on Apache CouchDB	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Document store Key-value store	Time Series DBMS	Document store	Relational DBMS
Secondary database models				Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 2.75 Rank #104   Overall #19   Document stores	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	www.ibm.com/­products/­cloudant	www.postgres-xl.org
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	cloud.ibm.com/­docs/­Cloudant	www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	Community supported by Red Hat	IBM, Apache Software Foundation IBM acquired Cloudant in February 2014
Initial release	2016	2014	2010	2014 since 2012, originally named StormDB
Current release	1703			10 R1, October 2018
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	Open Source Mozilla public license
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	Erlang	C
Server operating systems	Linux	Linux OS X Windows	hosted	Linux macOS
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 XML type, but no XML query functionality
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	no	yes distributed, parallel query execution
APIs and other access methods	LDAP	HTTP REST	RESTful HTTP/JSON API	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	C# Java JavaScript Objective-C PHP Ruby	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	no	View functions (Map-Reduce) in JavaScript	user defined functions
Triggers	yes	yes via Hawkular Alerting	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	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	Eventual Consistency	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	no atomic operations within a document possible	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes	yes Optimistic locking	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	no	Access rights for users can be defined per database	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Hawkular Metrics	IBM Cloudant	Postgres-XL
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	Cloudant Best (and Worst) Practices — Part 1 18 March 2019, IBM Intro to Enterprise Cloud Storage: How to Set Up a Cloudant Database 1 December 2014, Linux.com IBM Expands Cloud Database Services with Kubernetes 26 September 2019, EnterpriseAI IBM Code Engine and IBM Cloudant: Serverless Data and Infrastructure 16 August 2021, IBM IBM to Purchase Cloudant Database as a service (DBaaS) Provider 22 March 2014, App Developer Magazine provided by Google News

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