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DBMS > Amazon DocumentDB vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. Yaacomo

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Our visitors often compare Amazon DocumentDB and Yaacomo with Greenplum, Redis and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.44
Rank#142  Overall
#23  Document stores
Score0.01
Rank#346  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­documentdbyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resources
DeveloperQ2WEB GmbH
Initial release20192009
License infoCommercial or Open Sourcecommercialcommercial
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.
Server operating systemshostedAndroid
Linux
Windows
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 SQLnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID
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.yes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBYaacomo
Recent citations in the news

How MongoDB Beat Amazon
8 October 2021, The Motley Fool

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

Amazon Adds Global Clusters to DocumentDB
9 June 2021, InfoQ.com

Amazon DocumentDB Adds Global Cluster Support
8 June 2021, iProgrammer

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

provided by Google News

Staying power: the growing impact of PostgreSQL on enterprise marks Postgres Vision 2021
15 June 2021, SiliconANGLE News

provided by Google News

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