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DBMS > Apache Solr vs. SingleStore vs. SQLite

System Properties Comparison Apache Solr vs. SingleStore vs. SQLite

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeWidely used embeddable, in-process RDBMS
Primary database modelSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.79
Rank#23  Overall
#3  Search engines
Score3.69
Rank#70  Overall
#37  Relational DBMS
Score117.77
Rank#10  Overall
#7  Relational DBMS
Websitesolr.apache.orgwww.singlestore.comwww.sqlite.org
Technical documentationsolr.apache.org/­resources.htmldocs.singlestore.comwww.sqlite.org/­docs.html
DeveloperApache Software FoundationSingleStore Inc.Dwayne Richard Hipp
Initial release200620132000
Current release9.6.1, May 20248.5, January 20243.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, GoC
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux info64 bit version requiredserver-less
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes infodynamic column types
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesyes infonot rigid because of 'dynamic typing' concept.
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.yesnono
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSolr Parallel SQL Interfaceyes infobut no triggers and foreign keysyes infoSQL-92 is not fully supported
APIs and other access methodsJava API
RESTful HTTP/JSON API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresJava pluginsyesno
Triggersyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infovia file-system locks
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesFine grained access control via users, groups and rolesno

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More resources
Apache SolrSingleStore infoformer name was MemSQLSQLite
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

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