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DBMS > Elasticsearch vs. Hive vs. Milvus vs. MonetDB

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

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHive  Xexclude from comparisonMilvus  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 DBMS designed for efficient storage of vector data and vector similarity searchesA relational database management system that stores data in columns
Primary database modelSearch engineRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score155.08
Rank#8  Overall
#1  Search engines
Score78.66
Rank#17  Overall
#11  Relational DBMS
Score0.37
Rank#264  Overall
#18  Search engines
Score1.79
Rank#129  Overall
#63  Relational DBMS
Websitewww.elastic.co/­elasticsearchhive.apache.orgmilvus.iowww.monetdb.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homemilvus.io/­docs/­overview.mdwww.monetdb.org/­Documentation
DeveloperElasticApache Software Foundation infoinitially developed by FacebookMonetDB BV
Initial release2010201220192004
Current release7.8.0, June 20203.1.2, August 20192.0, January 2022Jul2021-SP2, July 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2Open Source infoApache Version 2.0Open 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++, GoC
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
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 dateyesyesNumeric and Stringyes
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 indexedyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoyes infoSQL 2003 with some extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
RESTful HTTP APIJDBC
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++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyes, in SQL, C, R
Triggersyes infoby using the 'percolation' featurenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding 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 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 ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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 integrationno
User concepts infoAccess controlAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
ElasticsearchHiveMilvusMonetDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsAs of March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Managed...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more

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More resources
ElasticsearchHiveMilvusMonetDB
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