DBMS > Atos Standard Common Repository vs. BigObject vs. Prometheus vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Prometheus vs. SiteWhere

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	Prometheus  Xexclude from comparison	SiteWhere  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	Open-source Time Series DBMS and monitoring system	M2M integration platform for persisting/querying time series data
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 7.69 Rank #50   Overall #3   Time Series DBMS	Score 0.06 Rank #383   Overall #43   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	prometheus.io	github.com/­sitewhere/­sitewhere
Technical documentation		docs.bigobject.io	prometheus.io/­docs	sitewhere1.sitewhere.io/­index.html
Developer	Atos Convergence Creators	BigObject, Inc.		SiteWhere
Initial release	2016	2015	2015	2010
Current release	1703
License Commercial or Open Source	commercial	commercial free community edition available	Open Source Apache 2.0	Open Source Common Public Attribution License Version 1.0
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		Go	Java
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 Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	predefined scheme
Typing predefined data types such as float or date	optional	yes	Numeric data only	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 Import of XML data possible	no
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	RESTful HTTP/JSON API	HTTP REST
Supported programming languages	All languages with LDAP bindings		.Net C++ Go Haskell Java JavaScript (Node.js) Python Ruby
Server-side scripts Stored procedures	no	Lua	no
Triggers	yes	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	Sharding based on HBase
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	yes by Federation	selectable replication factor based on HBase
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	none	Immediate Consistency
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	Users with fine-grained authorization concept
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More resources
	Atos Standard Common Repository	BigObject	Prometheus	SiteWhere
Recent citations in the 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 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	SiteWhere: An open platform for connected devices 11 July 2017, Open Source For You 11 Best Open source IoT Platforms To Develop Smart Projects 9 March 2023, H2S Media provided by Google News

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