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DBMS > GeoMesa vs. GeoSpock vs. IBM Db2 warehouse

System Properties Comparison GeoMesa vs. GeoSpock vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scaleCloud-based data warehousing service
Primary database modelSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Websitewww.geomesa.orggeospock.comwww.ibm.com/­products/­db2/­warehouse
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperCCRi and othersGeoSpockIBM
Initial release20142014
Current release4.0.5, February 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, Javascript
Server operating systemshostedhosted
Data schemeyesyesyes
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.nonono infoImport/export of XML data possible
Secondary indexesyestemporal, categoricalyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
GeoMesaGeoSpockIBM Db2 warehouse infoformerly named IBM dashDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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