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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	Hawkular Metrics  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	Analytic DBMS for real-time computations and queries	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Open-source Time Series DBMS and monitoring system
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Time Series DBMS	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 7.69 Rank #50   Overall #3   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	www.hawkular.org	prometheus.io
Technical documentation		docs.bigobject.io	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	prometheus.io/­docs
Developer	Atos Convergence Creators	BigObject, Inc.	Community supported by Red Hat
Initial release	2016	2015	2014	2015
Current release	1703
License Commercial or Open Source	commercial	commercial free community edition 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	Go
Server operating systems	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux OS X Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
Typing predefined data types such as float or date	optional	yes	yes	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	no Import of XML data possible
Secondary indexes	yes	yes	no	no
SQL Support of SQL	no	SQL-like DML and DDL statements	no	no
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API	HTTP REST	RESTful HTTP/JSON API
Supported programming languages	All languages with LDAP bindings		Go Java Python Ruby	.Net C++ Go Haskell Java JavaScript (Node.js) Python Ruby
Server-side scripts Stored procedures	no	Lua	no	no
Triggers	yes	no	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding based on Cassandra	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	selectable replication factor based on Cassandra	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	none	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	none
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	no
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	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	no	no	no
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More resources
	Atos Standard Common Repository	BigObject	Hawkular Metrics	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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