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DBMS > gStore vs. Newts vs. Quasardb vs. Solr vs. Trafodion

System Properties Comparison gStore vs. Newts vs. Quasardb vs. Solr vs. Trafodion

Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.Time Series DBMS based on CassandraDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Time Series DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteen.gstore.cnopennms.github.io/­newtsquasar.aisolr.apache.orgtrafodion.apache.org
Technical documentationen.gstore.cn/­#/­enDocsgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­mastersolr.apache.org/­resources.htmltrafodion.apache.org/­documentation.html
DeveloperOpenNMS GroupquasardbApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20162014200920062014
Current release1.2, November 20233.14.1, January 20249.6.0, April 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++JavaC++, Java
Server operating systemsLinuxLinux
OS X
Windows
BSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-free and OWL/RDFS-schema supportschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes infosupports customizable data types and automatic typingyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyesno
Secondary indexesnoyes infowith tagsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageSolr Parallel SQL Interfaceyes
APIs and other access methodsHTTP API
SPARQL 1.1
HTTP REST
Java API
HTTP APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnonoJava pluginsJava Stored Procedures
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factoryesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyesno
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoCryptographically strong user authentication and audit trailyesfine grained access rights according to SQL-standard

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gStoreNewtsQuasardbSolrTrafodion
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