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DBMS > GeoSpock vs. Newts vs. Quasardb vs. Realm vs. Solr

System Properties Comparison GeoSpock vs. Newts vs. Quasardb vs. Realm vs. Solr

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonSolr  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleTime Series DBMS based on CassandraDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument storeSearch engine
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitegeospock.comopennms.github.io/­newtsquasar.airealm.iosolr.apache.org
Technical documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­masterrealm.io/­docssolr.apache.org/­resources.html
DeveloperGeoSpockOpenNMS GroupquasardbRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2014200920142006
Current release2.0, September 20193.14.1, January 20249.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++Java
Server operating systemshostedLinux
OS X
Windows
BSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes infosupports customizable data types and automatic typing
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.nonononoyes
Secondary indexestemporal, categoricalnoyes infowith tagsyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methodsJDBCHTTP REST
Java API
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesJava.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononono inforuns within the applications so server-side scripts are unnecessaryJava plugins
Triggersnononoyes infoChange Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on CassandraSharding infoconsistent hashingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication with selectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 modeyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users can be defined per tablenoCryptographically strong user authentication and audit trailyesyes

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GeoSpockNewtsQuasardbRealmSolr
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