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DBMS > Quasardb vs. Realm vs. Solr vs. YDB

System Properties Comparison Quasardb vs. Realm vs. Solr vs. YDB

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonSolr  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionDistributed, 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 LuceneA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSDocument storeSearch engineDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitequasar.airealm.iosolr.apache.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdoc.quasar.ai/­masterrealm.io/­docssolr.apache.org/­resources.htmlydb.tech/­en/­docs
DeveloperquasardbRealm, acquired by MongoDB in May 2019Apache Software FoundationYandex
Initial release2009201420062019
Current release3.14.1, January 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoApache Version 2Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsBSD
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)Linux
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes 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.nonoyesno
Secondary indexesyes infowith tagsyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL InterfaceSQL-like query language (YQL)
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryJava pluginsno
Triggersnoyes infoChange Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornoneyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes infoIn-Memory realmyesno
User concepts infoAccess controlCryptographically strong user authentication and audit trailyesyesAccess rights defined for Yandex Cloud users

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