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DBMS > GeoMesa vs. HarperDB

System Properties Comparison GeoMesa vs. HarperDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelSpatial DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.92
Rank#214  Overall
#4  Spatial DBMS
Score0.69
Rank#241  Overall
#38  Document stores
Websitewww.geomesa.orgharperdb.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlharperdb.io/­developers/­documentation/­overview
DeveloperCCRi and othersHarperDB
Initial release20142017
Current release4.0.5, February 20243.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree community edition available
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 languageScalaNode.js
Server operating systemsLinux
OS X
Data schemeyesdynamic schema
Typing infopredefined data types such as float or dateyesyes infoJSON data types
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 SQLnoSQL-like data manipulation statements
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infothe nodes on which a table resides can be defined
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 datanoAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes, using LMDB
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 storageAccess rights for users and roles

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More resources
GeoMesaHarperDB
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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