DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. OrigoDB vs. Prometheus

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. OrigoDB vs. Prometheus

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	OrigoDB  Xexclude from comparison	Prometheus  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.	A fully ACID in-memory object graph database	Open-source Time Series DBMS and monitoring system
Primary database model	Document store Key-value store	Time Series DBMS	Document store Object oriented DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS	Score 7.69 Rank #50   Overall #3   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	origodb.com	prometheus.io
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	origodb.com/­docs	prometheus.io/­docs
Developer	Atos Convergence Creators	Community supported by Red Hat	Robert Friberg et al
Initial release	2016	2014	2009 under the name LiveDB	2015
Current release	1703
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source	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	C#	Go
Server operating systems	Linux	Linux OS X Windows	Linux Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	yes	User defined using .NET types and collections	Numeric data only
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 can be achieved using .NET	no Import of XML data possible
Secondary indexes	yes	no	yes	no
SQL Support of SQL	no	no	no	no
APIs and other access methods	LDAP	HTTP REST	.NET Client API HTTP API LINQ	RESTful HTTP/JSON API
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	.Net	.Net C++ Go Haskell Java JavaScript (Node.js) Python Ruby
Server-side scripts Stored procedures	no	no	yes	no
Triggers	yes	yes via Hawkular Alerting	yes Domain Events	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	horizontal partitioning client side managed; servers are not synchronized	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	Source-replica replication	yes by Federation
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		none
Foreign keys Referential integrity	no	no	depending on model	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Write ahead log	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes	no
User concepts Access control	LDAP bind authentication	no	Role based authorization	no
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More resources
	Atos Standard Common Repository	Hawkular Metrics	OrigoDB	Prometheus
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos 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		VTEX scales to 150 million metrics using Amazon Managed Service for Prometheus | Amazon Web Services 10 March 2024, AWS Blog Exadata Real-Time Insight - Quick Start 3 April 2024, Oracle OpenTelemetry vs. Prometheus: You can’t fix what you can’t see 29 March 2024, ibm.com VictoriaMetrics Offers Prometheus Replacement for Time Series Monitoring 17 July 2023, The New Stack Linux System Monitoring with Prometheus, Grafana, and collectd 1 February 2024, Linux Journal provided by Google News

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