DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. Hazelcast vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. Hazelcast vs. SpaceTime

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Hazelcast  Xexclude from comparison	SpaceTime  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 widely adopted in-memory data grid	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Document store Key-value store	Time Series DBMS	Key-value store	Spatial DBMS
Secondary database models			Document store JSON support with IMDG 3.12	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 5.46 Rank #61   Overall #7   Key-value stores	Score 0.03 Rank #392   Overall #8   Spatial DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	hazelcast.com	www.mireo.com/­spacetime
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	hazelcast.org/­imdg/­docs
Developer	Atos Convergence Creators	Community supported by Red Hat	Hazelcast	Mireo
Initial release	2016	2014	2008	2020
Current release	1703		5.3.6, November 2023
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache Version 2; commercial licenses available	commercial
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	Java	C++
Server operating systems	Linux	Linux OS X Windows	All OS with a Java VM	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	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	yes the object must implement a serialization strategy	no
Secondary indexes	yes	no	yes	no
SQL Support of SQL	no	no	SQL-like query language	A subset of ANSI SQL is implemented
APIs and other access methods	LDAP	HTTP REST	JCache JPA Memcached protocol RESTful HTTP API	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	.Net C# C++ Clojure Go Java JavaScript (Node.js) Python Scala	C# C++ Python
Server-side scripts Stored procedures	no	no	yes Event Listeners, Executor Services	no
Triggers	yes	yes via Hawkular Alerting	yes Events	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding	Fixed-grid hypercubes
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	yes Replicated Map	Real-time block device replication (DRBD)
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes	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	Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm	Immediate Consistency
Foreign keys Referential integrity	no	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	one or two-phase-commit; repeatable reads; read commited	no
Concurrency Support for concurrent manipulation of data	yes	yes	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	no	yes	no
User concepts Access control	LDAP bind authentication	no	Role-based access control	yes
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More resources
	Atos Standard Common Repository	Hawkular Metrics	Hazelcast	SpaceTime
Recent citations in the news		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	Hazelcast Weaves Wider Logic Threads Through The Data Fabric 7 March 2024, Forbes Hazelcast 5.4 real time data processing platform boosts AI and consistency 17 April 2024, VentureBeat Hazelcast appoints Anthony Griffin as Chief Architect - 11 June 2024, Enterprise Times Hazelcast Showcases Real-Time Data Platform at 2024 Gartner Summit 15 May 2024, Datanami Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars 7 November 2023, Finovate provided by Google News

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