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DBMS > atoti vs. GeoMesa vs. Microsoft Azure Table Storage vs. Qdrant

System Properties Comparison atoti vs. GeoMesa vs. Microsoft Azure Table Storage vs. Qdrant

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQdrant  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.A Wide Column Store for rapid development using massive semi-structured datasetsA high-performance vector database with neural network or semantic-based matching
Primary database modelObject oriented DBMSSpatial DBMSWide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteatoti.iowww.geomesa.orgazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.atoti.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlqdrant.tech/­documentation
DeveloperActiveViamCCRi and othersMicrosoftQdrant
Initial release201420122021
Current release5.0.0, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaRust
Server operating systemshostedDocker
Linux
macOS
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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.nonono
Secondary indexesyesnoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonono
APIs and other access methodsRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresPythonnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningdepending on storage layerSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking
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 layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights based on private key authentication or shared access signaturesKey-based authentication

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More resources
atotiGeoMesaMicrosoft Azure Table StorageQdrant
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