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DBMS > Lovefield vs. Quasardb vs. SiriDB vs. Solr vs. STSdb

System Properties Comparison Lovefield vs. Quasardb vs. SiriDB vs. Solr vs. STSdb

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonQuasardb  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries databaseOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache LuceneKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSSearch engineKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegoogle.github.io/­lovefieldquasar.aisiridb.comsolr.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­masterdocs.siridb.comsolr.apache.org/­resources.html
DeveloperGooglequasardbCesbitApache Software FoundationSTS Soft SC
Initial release20142009201720062011
Current release2.1.12, February 20173.14.1, January 20249.6.1, May 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++CJavaC#
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeyesschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infoNumeric datayes infosupports customizable data types and automatic typingyes infoprimitive types and user defined types (classes)
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.nononoyes
Secondary indexesyesyes infowith tagsyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL-like query languagenoSolr Parallel SQL Interfaceno
APIs and other access methodsHTTP APIHTTP APIJava API
RESTful HTTP/JSON API
.NET Client API
Supported programming languagesJavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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
C#
Java
Server-side scripts infoStored proceduresnononoJava pluginsno
TriggersUsing read-only observersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factoryesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes infoTransient modeyesyes
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailsimple rights management via user accountsyesno

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More resources
LovefieldQuasardbSiriDBSolrSTSdb
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