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DBMS > GeoMesa vs. Kdb

System Properties Comparison GeoMesa vs. Kdb

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.High performance Time Series DBMS
Primary database modelSpatial DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#218  Overall
#4  Spatial DBMS
Score7.69
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitewww.geomesa.orgkx.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcode.kx.com
DeveloperCCRi and othersKx Systems, a division of First Derivatives plc
Initial release20142000 infokdb was released 2000, kdb+ in 2003
Current release4.0.5, February 20243.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree 32-bit version
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 languageScalaq
Server operating systemsLinux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 infotable attribute 'grouped'
SQL infoSupport of SQLnoSQL-like query language (q)
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infowith views
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 layerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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 storagerights management via user accounts
More information provided by the system vendor
GeoMesaKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
GeoMesaKdb
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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