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DBMS > GeoMesa vs. PostgreSQL vs. RDF4J vs. Solr

System Properties Comparison GeoMesa vs. PostgreSQL vs. RDF4J vs. Solr

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSpatial DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.RDF storeSearch engine
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.geomesa.orgwww.postgresql.orgrdf4j.orgsolr.apache.org
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.postgresql.org/­docsrdf4j.org/­documentationsolr.apache.org/­resources.html
DeveloperCCRi and othersPostgreSQL Global Development Group infowww.postgresql.org/­developerSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation
Initial release20141989 info1989: Postgres, 1996: PostgreSQL20042006
Current release4.0.5, February 202416.2, February 20249.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCJavaJava
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyes infoRDF Schemasyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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 infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes infostandard with numerous extensionsnoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesJava plugins
Triggersnoyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerpartitioning by range, list and (since PostgreSQL 11) by hashnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replication infoother methods possible by using 3rd party extensionsnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardnoyes

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GeoMesaPostgreSQLRDF4J infoformerly known as SesameSolr
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