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DBMS > atoti vs. GeoMesa vs. Kinetica vs. OpenQM

System Properties Comparison atoti vs. GeoMesa vs. Kinetica vs. OpenQM

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGeoMesa  Xexclude from comparisonKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
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.Fully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelObject oriented DBMSSpatial DBMSRelational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websiteatoti.iowww.geomesa.orgwww.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.atoti.iowww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.kinetica.com
DeveloperActiveViamCCRi and othersKineticaRocket Software, originally Martin Phillips
Initial release201420121993
Current release5.0.0, May 20247.1, August 20213.4-12
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache License 2.0commercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC, C++
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesyes infowith some exceptions
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresPythonnouser defined functionsyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningdepending on storage layerShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesdepending on storage layeryes infoGPU vRAM or System RAM
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users and roles on table levelAccess rights can be defined down to the item level

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More resources
atotiGeoMesaKineticaOpenQM infoalso called QM
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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28 November 2023, Risk.net

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