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DBMS > Elasticsearch vs. GeoMesa vs. PostgreSQL vs. RDFox

System Properties Comparison Elasticsearch vs. GeoMesa vs. PostgreSQL vs. RDFox

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGeoMesa  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRDFox  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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLHigh performance knowledge graph and semantic reasoning engine
Primary database modelSearch engineSpatial DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websitewww.elastic.co/­elasticsearchwww.geomesa.orgwww.postgresql.orgwww.oxfordsemantic.tech
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.postgresql.org/­docsdocs.oxfordsemantic.tech
DeveloperElasticCCRi and othersPostgreSQL Global Development Group infowww.postgresql.org/­developerOxford Semantic Technologies
Initial release201020141989 info1989: Postgres, 1996: PostgreSQL2017
Current release8.6, January 20235.0.1, July 202416.4, August 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache License 2.0Open Source infoBSDcommercial
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.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJavaScalaCC++
Server operating systemsAll OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infostandard with numerous extensionsno
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerSource-replica replication infoother methods possible by using 3rd party extensionsreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesno
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 layerImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 integrationdepending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
ElasticsearchGeoMesaPostgreSQLRDFox
DB-Engines blog posts

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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

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