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DBMS > Elasticsearch vs. Manticore Search vs. MonetDB

System Properties Comparison Elasticsearch vs. Manticore Search vs. MonetDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonManticore Search  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 metricOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.A relational database management system that stores data in columns
Primary database modelSearch engineSearch engineRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score152.16
Rank#7  Overall
#1  Search engines
Score0.08
Rank#290  Overall
#17  Search engines
Score1.95
Rank#116  Overall
#56  Relational DBMS
Websitewww.elastic.co/­products/­elasticsearchmanticoresearch.comwww.monetdb.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
www.monetdb.org/­Documentation
DeveloperElasticManticore SoftwareMonetDB BV
Initial release201020172004
Current release7.3.0, August 2019Nov2019-SP1, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoGPL 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.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaC++C
Server operating systemsAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
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 dateyesnoyes
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 indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infoSQL 2003 with some extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocolJDBC
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, R
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-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, all
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 persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
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 controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
ElasticsearchManticore SearchMonetDB
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosSearch, logging, security, metrics, maps and business analytics use cases.
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customers
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsMore than 400 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesElastic Cloud: Try the official hosted Elasticsearch.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchManticore SearchMonetDB
DB-Engines blog posts

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3 July 2017, Matthias Gelbmann

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2 March 2016, Paul Andlinger

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Recent citations in the news

Taming data transfer costs with Elasticsearch | Info
4 February 2020, The Guardian

Elastic Stack 7.6.0 Released
19 February 2020, AiThority

Microsoft exposes 250M customer service records via misconfigured Elasticsearch database
22 January 2020, SiliconANGLE

Elastic Announces the General Availability of Elastic App Search on Elasticsearch Service
4 February 2020, Business Wire

Elastic Stack 7.6 Released with Security, Performance, and Observability Improvements
19 February 2020, InfoQ.com

provided by Google News

MonetDB Solutions secures investment from ServiceNow
1 October 2019, Centrum Wiskunde & Informatica (CWI)

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6 February 2020, openPR

provided by Google News

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