DBMS > Apache Jena - TDB vs. Atos Standard Common Repository vs. Hawkular Metrics vs. Lovefield

System Properties Comparison Apache Jena - TDB vs. Atos Standard Common Repository vs. Hawkular Metrics vs. Lovefield

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Editorial information provided by DB-Engines
Name	Apache Jena - TDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Lovefield  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework	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.	Embeddable relational database for web apps written in pure JavaScript
Primary database model	RDF store	Document store Key-value store	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 3.62 Rank #83   Overall #3   RDF stores		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	jena.apache.org/­documentation/­tdb/­index.html	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	google.github.io/­lovefield
Technical documentation	jena.apache.org/­documentation/­tdb/­index.html		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Apache Software Foundation originally developed by HP Labs	Atos Convergence Creators	Community supported by Red Hat	Google
Initial release	2000	2016	2014	2014
Current release	4.9.0, July 2023	1703		2.1.12, February 2017
License Commercial or Open Source	Open Source Apache License, Version 2.0	commercial	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	All OS with a Java VM	Linux	Linux OS X Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
Data scheme	yes RDF Schemas	Schema and schema-less with LDAP views	schema-free	yes
Typing predefined data types such as float or date	yes	optional	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
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	no	no	no	SQL-like query language via JavaScript builder pattern
APIs and other access methods	Fuseki REST-style SPARQL HTTP Interface Jena RDF API RIO RDF Input/Output	LDAP	HTTP REST
Supported programming languages	Java	All languages with LDAP bindings	Go Java Python Ruby	JavaScript
Server-side scripts Stored procedures	yes	no	no	no
Triggers	yes via event handler	yes	yes via Hawkular Alerting	Using read-only observers
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	none	yes	selectable replication factor based on Cassandra	none
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
Foreign keys Referential integrity		no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID TDB Transactions	Atomic execution of specific operations	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	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	Access control via Jena Security	LDAP bind authentication	no	no
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More resources
	Apache Jena - TDB	Atos Standard Common Repository	Hawkular Metrics	Lovefield
Recent citations in the news	Sparql Secrets In Jena-Fuseki - DataScienceCentral.com 24 July 2022, Data Science Central Extract and query knowledge graphs using Apache Jena (SPARQL Engine) 4 December 2019, Towards Data Science 6 Java Libraries for Machine Learning – AIM 3 October 2023, Analytics India Magazine A catalogue with semantic annotations makes multilabel datasets FAIR | Scientific Reports 4 May 2022, Nature.com MarkLogic Hones Its Triple Store 18 August 2015, Datanami 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

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