DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. JanusGraph vs. Lovefield

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. JanusGraph vs. Lovefield

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	JanusGraph successor of Titan  Xexclude from comparison	Lovefield  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 Graph DBMS optimized for distributed clusters It was forked from the latest code base of Titan in January 2017	Embeddable relational database for web apps written in pure JavaScript
Primary database model	Document store Key-value store	Time Series DBMS	Graph DBMS	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 2.02 Rank #125   Overall #12   Graph DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	janusgraph.org	google.github.io/­lovefield
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.janusgraph.org	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Atos Convergence Creators	Community supported by Red Hat	Linux Foundation; originally developed as Titan by Aurelius	Google
Initial release	2016	2014	2017	2014
Current release	1703		0.6.3, February 2023	2.1.12, February 2017
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache 2.0	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	JavaScript
Server operating systems	Linux	Linux OS X Windows	Linux OS X Unix Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	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	no	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	no	SQL-like query language via JavaScript builder pattern
APIs and other access methods	LDAP	HTTP REST	Java API TinkerPop Blueprints TinkerPop Frames TinkerPop Gremlin TinkerPop Rexster
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	Clojure Java Python	JavaScript
Server-side scripts Stored procedures	no	no	yes	no
Triggers	yes	yes via Hawkular Alerting	yes	Using read-only observers
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	yes depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods		no	yes via Faunus, a graph analytics engine	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	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	no	yes Relationships in graphs	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast	yes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no		yes using MemoryDB
User concepts Access control	LDAP bind authentication	no	User authentification and security via Rexster Graph Server	no
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Hawkular Metrics	JanusGraph successor of Titan	Lovefield
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	Simple Deployment of a Graph Database: JanusGraph 12 October 2020, Towards Data Science Database Deep Dives: JanusGraph 8 August 2019, ibm.com JanusGraph Picks Up Where TitanDB Left Off 13 January 2017, Datanami Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph 3 October 2019, The New Stack Compose for JanusGraph arrives on Bluemix 15 September 2017, ibm.com provided by Google News

Share this page