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DBMS > GeoMesa vs. RDFox vs. Yaacomo

System Properties Comparison GeoMesa vs. RDFox vs. Yaacomo

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonRDFox  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.High performance knowledge graph and semantic reasoning engineOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSpatial DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.geomesa.orgwww.oxfordsemantic.techyaacomo.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.oxfordsemantic.tech
DeveloperCCRi and othersOxford Semantic TechnologiesQ2WEB GmbH
Initial release201420172009
Current release4.0.5, February 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemsLinux
macOS
Windows
Android
Linux
Windows
Data schemeyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Supported programming languagesC
Java
Server-side scripts infoStored proceduresno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerreplication via a shared file systemSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageRoles, resources, and access typesfine grained access rights according to SQL-standard

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More resources
GeoMesaRDFoxYaacomo
DB-Engines blog posts

Spatial database management systems
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