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DBMS > Elasticsearch vs. Hive vs. Linter vs. MonetDB

System Properties Comparison Elasticsearch vs. Hive vs. Linter vs. MonetDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHive  Xexclude from comparisonLinter  Xexclude from comparisonMonetDB  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 metricdata warehouse software for querying and managing large distributed datasets, built on HadoopRDBMS for high security requirementsA relational database management system that stores data in columns
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.elastic.co/­elasticsearchhive.apache.orglinter.ruwww.monetdb.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentation
DeveloperElasticApache Software Foundation infoinitially developed by Facebookrelex.ruMonetDB BV
Initial release2010201219902004
Current release8.6, January 20233.1.3, April 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2commercialOpen Source infoMozilla Public License 2.0
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 languageJavaJavaC and C++C
Server operating systemsAll OS with a Java VMAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
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 dateyesyesyesyes
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
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesyes infoSQL 2003 with some extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes infoproprietary syntax with the possibility to convert from PL/SQLyes, in SQL, C, R
Triggersyes infoby using the 'percolation' featurenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoquery execution via MapReducenono
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, allEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
ElasticsearchHiveLinterMonetDB
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