DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. SwayDB vs. Transwarp StellarDB

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. SwayDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	SwayDB  Xexclude from comparison	Transwarp StellarDB  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.	An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Document store Key-value store	Time Series DBMS	Key-value store	Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.04 Rank #387   Overall #61   Key-value stores	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	swaydb.simer.au	www.transwarp.cn/­en/­product/­stellardb
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Atos Convergence Creators	Community supported by Red Hat	Simer Plaha	Transwarp
Initial release	2016	2014	2018
Current release	1703
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source GNU Affero GPL V3.0	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	Scala
Server operating systems	Linux	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free
Typing predefined data types such as float or date	optional	yes	no
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
Secondary indexes	yes	no	no
SQL Support of SQL	no	no	no	SQL-like query language
APIs and other access methods	LDAP	HTTP REST		OpenCypher
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	Java Kotlin Scala
Server-side scripts Stored procedures	no	no	no
Triggers	yes	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	none
MapReduce Offers an API for user-defined Map/Reduce methods		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
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	Atomic execution of operations
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
User concepts Access control	LDAP bind authentication	no	no	yes
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More resources
	Atos Standard Common Repository	Hawkular Metrics	SwayDB	Transwarp StellarDB
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