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DBMS > GeoMesa vs. Kyligence Enterprise vs. Ultipa

System Properties Comparison GeoMesa vs. Kyligence Enterprise vs. Ultipa

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A distributed analytics engine for big data, built on top of Apache KylinHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelSpatial DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitewww.geomesa.orgkyligence.io/­kyligence-enterprisewww.ultipa.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ultipa.com/­document
DeveloperCCRi and othersKyligence, Inc.Ultipa
Initial release201420162019
Current release4.0.5, February 2024
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 languageScalaJava
Server operating systemsLinux
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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 layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storage

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More resources
GeoMesaKyligence EnterpriseUltipa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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