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DBMS > Amazon DocumentDB vs. GeoMesa vs. Valentina Server

System Properties Comparison Amazon DocumentDB vs. GeoMesa vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonValentina Server  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.Object-relational database and reports server
Primary database modelDocument storeSpatial DBMSRelational DBMS
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
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.geomesa.orgwww.valentina-db.net
Technical documentationaws.amazon.com/­documentdb/­resourceswww.geomesa.org/­documentation/­stable/­user/­index.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCCRi and othersParadigma Software
Initial release201920141999
Current release4.0.5, February 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemshostedLinux
OS X
Windows
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending 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 replicasdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layer
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.depending on storage layeryes
User concepts infoAccess controlAccess rights for users and rolesyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBGeoMesaValentina Server
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