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DBMS > GeoMesa vs. HEAVY.AI

System Properties Comparison GeoMesa vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelSpatial DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websitewww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.ai
DeveloperCCRi and othersHEAVY.AI, Inc.
Initial release20142016
Current release4.0.5, February 20245.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++ and CUDA
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 indexesyesno
SQL infoSupport of SQLnoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source 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
Foreign keys infoReferential integritynono
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 storagefine grained access rights according to SQL-standard

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More resources
GeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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