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DBMS > Amazon DocumentDB vs. JaguarDB

System Properties Comparison Amazon DocumentDB vs. JaguarDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database servicePerformant, highly scalable DBMS for AI and IoT applications
Primary database modelDocument storeKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#124  Overall
#22  Document stores
Score0.01
Rank#380  Overall
#58  Key-value stores
#17  Vector DBMS
Websiteaws.amazon.com/­documentdbwww.jaguardb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.jaguardb.com/­support.html
DeveloperDataJaguar, Inc.
Initial release20192015
Current release3.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languages
Server operating systemshostedLinux
Data schemeschema-freeyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
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 persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesrights management via user accounts

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More resources
Amazon DocumentDBJaguarDB
Recent citations in the news

Unlock the power of parallel indexing in Amazon DocumentDB
19 June 2024, AWS Blog

Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service is now available
16 May 2024, AWS Blog

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0
15 April 2024, AWS Blog

Optimizing costs on Amazon DocumentDB using event-driven architecture and the AWS EventBridge Terraform module
23 August 2024, AWS Blog

provided by Google News



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