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

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

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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	Lovefield  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.	Embeddable relational database for web apps written in pure JavaScript
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Time Series DBMS	Relational 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 0.33 Rank #286   Overall #131   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	www.hawkular.org	google.github.io/­lovefield
Technical documentation		docs.bigobject.io	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Atos Convergence Creators	BigObject, Inc.	Community supported by Red Hat	Google
Initial release	2016	2015	2014	2014
Current release	1703			2.1.12, February 2017
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	JavaScript
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	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
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	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	no
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	no	SQL-like DML and DDL statements	no	SQL-like query language via JavaScript builder pattern
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API	HTTP REST
Supported programming languages	All languages with LDAP bindings		Go Java Python Ruby	JavaScript
Server-side scripts Stored procedures	no	Lua	no	no
Triggers	yes	no	yes via Hawkular Alerting	Using read-only observers
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	selectable replication factor based on Cassandra	none
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
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	ACID
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, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no	yes using MemoryDB
User concepts Access control	LDAP bind authentication	no	no	no
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More resources
	Atos Standard Common Repository	BigObject	Hawkular Metrics	Lovefield
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