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DBMS > Apache Druid vs. Sphinx vs. SQL.JS vs. SQLite

System Properties Comparison Apache Druid vs. Sphinx vs. SQL.JS vs. SQLite

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScriptWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.63
Rank#114  Overall
#58  Relational DBMS
#6  Time Series DBMS
Score6.76
Rank#63  Overall
#8  Search engines
Score1.04
Rank#181  Overall
#86  Relational DBMS
Score138.82
Rank#10  Overall
#7  Relational DBMS
Websitedruid.apache.orgsphinxsearch.comsql.js.orgwww.sqlite.org
Technical documentationdruid.apache.org/­docs/­latest/­designsphinxsearch.com/­docssql.js.org/­documentation/­index.htmlwww.sqlite.org/­docs.html
DeveloperApache Software Foundation and contributorsSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersDwayne Richard Hipp
Initial release2012200120122000
Current release24.0.0, September 20223.4.1, July 20213.39.3  (5 September 2022), September 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL version 2, commercial licence availableOpen SourceOpen Source infoPublic Domain
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 languageJavaC++JavaScriptC
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)server-less
Data schemeyes infoschema-less columns are supportedyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesnoyesyes 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.nonono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocolJavaScript APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScriptActionscript
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 proceduresnononono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonono

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More resources
Apache DruidSphinxSQL.JSSQLite
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Recent citations in the news

Imply Announces Major Open Source Contribution for Apache Druid; New Financial Guarantee for Apache Druid Users
20 September 2022, Business Wire

Apache Druid Takes Its Place In The Pantheon Of Databases
16 June 2022, The Next Platform

How to install the Apache Druid real-time analytics database on Ubuntu-based Linux distributions
25 May 2022, TechRepublic

Apache Druid Gets Multi-Stage Reporting Engine, Cloud Service from Imply
1 March 2022, Datanami

Streaming fast: Druid's event-based database practices for sub-second trillion row response – Blocks and Files
21 February 2022, Blocks and Files

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In Praise Of SQLite
28 July 2022, iProgrammer

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Use Rust To Reduce The Size Of Your SQLite Database
12 September 2022, iProgrammer

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24 September 2022, WP Tavern

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