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DBMS > Elasticsearch vs. Hive vs. MonetDB

System Properties Comparison Elasticsearch vs. Hive vs. MonetDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHive  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 HadoopA relational database management system that stores data in columns
Primary database modelSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score157.69
Rank#8  Overall
#1  Search engines
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score1.81
Rank#131  Overall
#64  Relational DBMS
Websitewww.elastic.co/­elasticsearchhive.apache.orgwww.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 FacebookMonetDB BV
Initial release201020122004
Current release7.8.0, June 20203.1.2, August 2019Jul2021-SP2, July 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC
Server operating systemsAll OS with a Java VMAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes infoSQL 2003 with some extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
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++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes, in SQL, C, R
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoquery execution via MapReduceno
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 Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standard
More information provided by the system vendor
ElasticsearchHiveMonetDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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More resources
ElasticsearchHiveMonetDB
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Recent citations in the news

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