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

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	InfinityDB  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	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A Java embedded Key-Value Store which extends the Java Map interface	Open-source Time Series DBMS and monitoring system
Primary database model	Document store Key-value store	Time Series DBMS	Key-value store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores	Score 7.69 Rank #50   Overall #3   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	boilerbay.com	prometheus.io
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	boilerbay.com/­infinitydb/­manual	prometheus.io/­docs
Developer	Atos Convergence Creators	Community supported by Red Hat	Boiler Bay Inc.
Initial release	2016	2014	2002	2015
Current release	1703		4.0
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	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	Java	Go
Server operating systems	Linux	Linux OS X Windows	All OS with a Java VM	Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes
Typing predefined data types such as float or date	optional	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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	no	no manual creation possible, using inversions based on multi-value capability	no
SQL Support of SQL	no	no	no	no
APIs and other access methods	LDAP	HTTP REST	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	RESTful HTTP/JSON API
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	Java	.Net C++ Go Haskell Java JavaScript (Node.js) Python Ruby
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	yes via Hawkular Alerting	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	none	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	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency READ-COMMITTED or SERIALIZED	none
Foreign keys Referential integrity	no	no	no manual creation possible, using inversions based on multi-value capability	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID Optimistic locking for transactions; no isolation for bulk loads	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	no	no
User concepts Access control	LDAP bind authentication	no	no	no
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More resources
	Atos Standard Common Repository	Hawkular Metrics	InfinityDB	Prometheus
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