DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Hawkular Metrics vs. LokiJS

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Hawkular Metrics vs. LokiJS

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Editorial information provided by DB-Engines
Name	Amazon Neptune  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	LokiJS  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Fast, reliable graph database built for the cloud	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.	In-memory JavaScript DBMS
Primary database model	Graph DBMS RDF store	Document store Key-value store	Time Series DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.29 Rank #113   Overall #9   Graph DBMS #5   RDF stores		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.49 Rank #260   Overall #42   Document stores
Website	aws.amazon.com/­neptune	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	github.com/­techfort/­LokiJS
Technical documentation	aws.amazon.com/­neptune/­developer-resources		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	techfort.github.io/­LokiJS
Developer	Amazon	Atos Convergence Creators	Community supported by Red Hat
Initial release	2017	2016	2014	2014
Current release		1703
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	Open Source
Cloud-based only Only available as a cloud service	yes	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	hosted	Linux	Linux OS X Windows	server-less, requires a JavaScript environment (browser, Node.js)
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	schema-free
Typing predefined data types such as float or date	yes	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.	no	yes	no	no
Secondary indexes	no	yes	no	yes via views
SQL Support of SQL	no	no	no	no
APIs and other access methods	OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin	LDAP	HTTP REST	JavaScript API
Supported programming languages	C# Go Java JavaScript PHP Python Ruby Scala	All languages with LDAP bindings	Go Java Python Ruby	JavaScript
Server-side scripts Stored procedures	no	no	no	View functions in JavaScript
Triggers	no	yes	yes via Hawkular Alerting	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding cell division	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.	yes	selectable replication factor based on Cassandra	none
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	none
Foreign keys Referential integrity	yes Relationships in graphs	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	no	no atomic operations within a single collection possible
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes with encyption-at-rest	yes	yes	yes Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
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	Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)	LDAP bind authentication	no	no
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More resources
	Amazon Neptune	Atos Standard Common Repository	Hawkular Metrics	LokiJS
DB-Engines blog posts				New kids on the block: database management systems implemented in JavaScript 1 December 2014, Matthias Gelbmann show all
Recent citations in the news	Exploring new features of Apache TinkerPop 3.7.x in Amazon Neptune | Amazon Web Services 7 June 2024, AWS Blog Building NHM London's Planetary Knowledge Base with Amazon Neptune and the Registry of Open Data on AWS ... 5 June 2024, AWS Blog Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune | Amazon Web Services 3 June 2024, AWS Blog AWS announces Amazon Neptune I/O-Optimized 22 February 2024, AWS Blog Amazon Neptune Analytics is now available in the AWS Europe (London) Region 14 March 2024, AWS Blog provided by Google News		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	LokiJS - A JavaScript Database 18 November 2014, iProgrammer provided by Google News

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