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DBMS > Apache Drill vs. PouchDB vs. Sphinx vs. SQLite

System Properties Comparison Apache Drill vs. PouchDB vs. Sphinx vs. SQLite

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databasesWidely used embeddable, in-process RDBMS
Primary database modelDocument store
Relational DBMS
Document storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score6.03
Rank#60  Overall
#6  Search engines
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websitedrill.apache.orgpouchdb.comsphinxsearch.comwww.sqlite.org
Technical documentationdrill.apache.org/­docspouchdb.com/­guidessphinxsearch.com/­docswww.sqlite.org/­docs.html
DeveloperApache Software FoundationApache Software FoundationSphinx Technologies Inc.Dwayne Richard Hipp
Initial release2012201220012000
Current release1.20.3, January 20237.1.1, June 20193.5.1, February 20233.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less
Data schemeschema-freeschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesnonoyes 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 indexesnoyes infovia viewsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocolADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC++JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
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 proceduresuser defined functionsView functions in JavaScriptnono
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoThe original contents of fields are not stored in the Sphinx index.yes
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
User concepts infoAccess controlDepending on the underlying data sourcenonono

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