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DBMS > Elasticsearch vs. IBM Db2 vs. Linter vs. Sphinx

System Properties Comparison Elasticsearch vs. IBM Db2 vs. Linter vs. Sphinx

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonLinter  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA 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 metricCommon in IBM host environments, 2 different versions for host and Windows/LinuxRDBMS for high security requirementsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.elastic.co/­elasticsearchwww.ibm.com/­products/­db2linter.rusphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.ibm.com/­docs/­en/­db2sphinxsearch.com/­docs
DeveloperElasticIBMrelex.ruSphinx Technologies Inc.
Initial release20101983 infohost version19902001
Current release8.6, January 202312.1, October 20163.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infofree version is availablecommercialOpen Source infoGPL version 2, commercial licence available
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 and C++C and C++C++
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyes infoAll search fields are automatically indexedyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyesyesSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyes infoby using the 'percolation' featureyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infowith separate tools (MQ, InfoSphere)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
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, allImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 integration
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
ElasticsearchIBM Db2 infoformerly named DB2 or IBM Database 2LinterSphinx
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