DBMS > Atos Standard Common Repository vs. BigObject vs. H2GIS vs. Hawkular Metrics vs. InterSystems Caché

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. H2GIS vs. Hawkular Metrics vs. InterSystems Caché

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	H2GIS  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	InterSystems Caché  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.				Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is 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	Spatial extension of H2	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A multi-model DBMS and application server
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Spatial DBMS	Time Series DBMS	Key-value store Object oriented DBMS Relational DBMS
Secondary database models			Relational DBMS		Document store
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 #368   Overall #7   Spatial DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	www.h2gis.org	www.hawkular.org	www.intersystems.com/­products/­cache
Technical documentation		docs.bigobject.io	www.h2gis.org/­docs/­home	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.intersystems.com
Developer	Atos Convergence Creators	BigObject, Inc.	CNRS	Community supported by Red Hat	InterSystems
Initial release	2016	2015	2013	2014	1997
Current release	1703				2018.1.4, May 2020
License Commercial or Open Source	commercial	commercial free community edition available	Open Source LGPL 3.0	Open Source Apache 2.0	commercial
Cloud-based only Only available as a cloud service	no	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	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 OS X Windows	AIX HP Open VMS HP-UX Linux OS X Solaris Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free	depending on used data model
Typing predefined data types such as float or date	optional	yes	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	yes
Secondary indexes	yes	yes	yes	no	yes
SQL Support of SQL	no	SQL-like DML and DDL statements	yes	no	yes
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API		HTTP REST	.NET Client API JDBC ODBC RESTful HTTP API
Supported programming languages	All languages with LDAP bindings		Java	Go Java Python Ruby	C# C++ Java
Server-side scripts Stored procedures	no	Lua	yes based on H2	no	yes
Triggers	yes	no	yes	yes via Hawkular Alerting	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	yes based on H2	selectable replication factor based on Cassandra	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	none	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes	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	yes	no	yes
User concepts Access control	LDAP bind authentication	no	yes based on H2	no	Access rights for users, groups and roles
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More resources
	Atos Standard Common Repository	BigObject	H2GIS	Hawkular Metrics	InterSystems Caché
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