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DBMS > Amazon DocumentDB vs. Amazon DynamoDB vs. Rockset

System Properties Comparison Amazon DocumentDB vs. Amazon DynamoDB vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHosted, scalable database service by Amazon with the data stored in Amazons cloudA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument storeDocument store
Key-value store
Document store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#187  Overall
#28  Document stores
Score62.51
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.37
Rank#231  Overall
#33  Document stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­dynamodbrockset.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­dynamodbdocs.rockset.com/­overview
DeveloperAmazonRockset
Initial release201920122019
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationscommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedhosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINs
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual 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 operationsACID infoACID across one or more tables within a single AWS account and regionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset console

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More resources
Amazon DocumentDBAmazon DynamoDBRockset
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Recent citations in the news

Commvault sharpens cloud focus with latest platform release
30 March 2020, SiliconANGLE

Amazon DocumentDB Speeds Up With Slow Queries Logging
20 August 2019, Computer Business Review

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9 January 2019, Business Wire

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9 March 2020, IoT For All

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31 December 2019, TechRadar

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28 November 2019, Analytics India Magazine

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12 March 2020, GlobeNewswire

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