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DBMS > EJDB vs. Elasticsearch vs. mSQL vs. Sphinx

System Properties Comparison EJDB vs. Elasticsearch vs. mSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeSearch engineRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score128.79
Rank#8  Overall
#1  Search engines
Score1.26
Rank#163  Overall
#74  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitegithub.com/­Softmotions/­ejdbwww.elastic.co/­elasticsearchhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsphinxsearch.com/­docs
DeveloperSoftmotionsElasticHughes TechnologiesSphinx Technologies Inc.
Initial release2012201019942001
Current release8.6, January 20234.4, October 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoElastic Licensecommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaCC++
Server operating systemsserver-lessAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesno
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.nono
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsin-process shared libraryJava API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allnone
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesnoyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlnonono

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EJDBElasticsearchmSQL infoMini SQLSphinx
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