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DBMS > GeoMesa vs. Prometheus vs. Speedb

System Properties Comparison GeoMesa vs. Prometheus vs. Speedb

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonPrometheus  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Open-source Time Series DBMS and monitoring systemAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelSpatial DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.20
Rank#310  Overall
#44  Key-value stores
Websitewww.geomesa.orgprometheus.iowww.speedb.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlprometheus.io/­docs
DeveloperCCRi and othersSpeedb
Initial release201420152020
Current release5.0.1, July 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGoC++
Server operating systemsLinux
Windows
Linux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyno
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 infoImport of XML data possibleno
Secondary indexesyesnono
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP/JSON API
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layernone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes
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 storagenono

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More resources
GeoMesaPrometheusSpeedb
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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