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DBMS > Amazon DocumentDB vs. Apache Doris vs. GeoMesa

System Properties Comparison Amazon DocumentDB vs. Apache Doris vs. GeoMesa

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Doris  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn MPP-based analytics DBMS embracing the MySQL protocolGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelDocument storeRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Websiteaws.amazon.com/­documentdbdoris.apache.org
github.com/­apache/­doris
www.geomesa.org
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­apache/­doris/­wikiwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduCCRi and others
Initial release201920172014
Current release1.2.2, February 20235.0.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshostedLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
MySQL client
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonedepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layer
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 operationsno
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.nodepending on storage layer
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storage

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More resources
Amazon DocumentDBApache DorisGeoMesa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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