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DBMS > Amazon DocumentDB vs. GeoMesa vs. Realm vs. YTsaurus

System Properties Comparison Amazon DocumentDB vs. GeoMesa vs. Realm vs. YTsaurus

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonRealm  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeSpatial DBMSDocument storeDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websiteaws.amazon.com/­documentdbwww.geomesa.orgrealm.ioytsaurus.tech
Technical documentationaws.amazon.com/­documentdb/­resourceswww.geomesa.org/­documentation/­stable/­user/­index.htmlrealm.io/­docsytsaurus.tech/­docs/­en
DeveloperCCRi and othersRealm, acquired by MongoDB in May 2019Yandex
Initial release2019201420142023
Current release4.0.5, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open SourceOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
Ubuntu
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLnononoYQL, an SQL-based language, is supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasdepending on storage layernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and rolesyes infodepending on the DBMS used for storageyesAccess Control Lists

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More resources
Amazon DocumentDBGeoMesaRealmYTsaurus
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