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DBMS > Apache Drill vs. Apache Solr vs. Realm

System Properties Comparison Apache Drill vs. Apache Solr vs. Realm

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Solr  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA widely used distributed, scalable search engine based on Apache LuceneA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Relational DBMS
Search engineDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.82
Rank#128  Overall
#24  Document stores
#60  Relational DBMS
Score32.47
Rank#24  Overall
#3  Search engines
Score7.12
Rank#48  Overall
#8  Document stores
Websitedrill.apache.orgsolr.apache.orgrealm.io
Technical documentationdrill.apache.org/­docssolr.apache.org/­resources.htmlrealm.io/­docs
DeveloperApache Software FoundationApache Software FoundationRealm, acquired by MongoDB in May 2019
Initial release201220062014
Current release1.20.3, January 20239.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes 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.noyesno
Secondary indexesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSolr Parallel SQL Interfaceno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesC++.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsJava pluginsno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infoUser configurable commands triggered on index changesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infoIn-Memory realm
User concepts infoAccess controlDepending on the underlying data sourceyesyes

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Apache DrillApache SolrRealm
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MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
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9 June 2016, TheServerSide.com

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30 March 2022, InApps Technology

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