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DBMS > atoti vs. GeoMesa vs. GeoSpock

System Properties Comparison atoti vs. GeoMesa vs. GeoSpock

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scale
Primary database modelObject oriented DBMSSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websiteatoti.iowww.geomesa.orggeospock.com
Technical documentationdocs.atoti.iowww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperActiveViamCCRi and othersGeoSpock
Initial release2014
Current release5.0.0, May 20242.0, September 2019
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJava, Javascript
Server operating systemshosted
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 indexesyestemporal, categorical
SQL infoSupport of SQLMultidimensional Expressions (MDX)noANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
Server-side scripts infoStored proceduresPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningdepending on storage layerAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 datayes, multi-version concurrency control (MVCC)yesyes
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.yesdepending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per table

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More resources
atotiGeoMesaGeoSpock
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Overview Of Atoti: A Python BI Analytics Tool – AIM
14 May 2021, Analytics India Magazine

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