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DBMS > Elasticsearch vs. GeoMesa

System Properties Comparison Elasticsearch vs. GeoMesa

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGeoMesa  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 metricGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelSearch engineSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websitewww.elastic.co/­elasticsearchwww.geomesa.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperElasticCCRi and others
Initial release20102014
Current release8.6, January 20235.0.0, May 2024
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsAll OS with a Java VM
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyes
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 indexedyes
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes
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, alldepending on storage layer
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationdepending on storage layer
User concepts infoAccess controlyes infodepending on the DBMS used for storage

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More resources
ElasticsearchGeoMesa
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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25 April 2024, Yahoo Finance

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29 April 2024, InfoQ.com

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26 March 2024, insider.govtech.com

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