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DBMS > GeoMesa vs. Solr

System Properties Comparison GeoMesa vs. Solr

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSpatial DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#239  Overall
#5  Spatial DBMS
Score44.20
Rank#24  Overall
#3  Search engines
Websitewww.geomesa.orgsolr.apache.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlsolr.apache.org/­resources.html
DeveloperCCRi and othersApache Software Foundation
Initial release20142006
Current release4.0.4, October 20239.4.0, October 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typing
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.noyes
Secondary indexesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP/JSON API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava plugins
Triggersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking
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.depending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes

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More resources
GeoMesaSolr
DB-Engines blog posts

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