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DBMS > Amazon DocumentDB vs. Amazon DynamoDB vs. Amazon Neptune

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonAmazon Neptune  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 cloudFast, reliable graph database built for the cloud
Primary database modelDocument storeDocument store
Key-value store
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.79
Rank#157  Overall
#29  Document stores
Score82.90
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score2.93
Rank#113  Overall
#8  Graph DBMS
#4  RDF stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­dynamodbaws.amazon.com/­neptune
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­dynamodbaws.amazon.com/­neptune/­developer-resources
DeveloperAmazonAmazon
Initial release201920122017
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

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Server operating systemshostedhostedhosted
Data schemeschema-freeschema-freeschema-free
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 indexesyesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.
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
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes infoRelationships in graphs
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 regionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-rest
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 roles can be defined via the AWS Identity and Access Management (IAM)

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More resources
Amazon DocumentDBAmazon DynamoDBAmazon Neptune
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Recent citations in the news

Amazon DocumentDB (with MongoDB compatibility) Elastic Clusters supports readable secondaries, and start and stop ...
23 February 2024, AWS Blog

Amazon DocumentDB (with MongoDB compatibility) now supports Partial Indexes
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Amazon DocumentDB now supports vector search with HNSW index
19 February 2024, AWS Blog

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
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Amazon DynamoDB zero-ETL integration with Amazon Redshift in the US East (Virginia) region
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AWS announces Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service
28 November 2023, AWS Blog

A new and improved AWS CDK construct for Amazon DynamoDB tables | Amazon Web Services
31 January 2024, AWS Blog

Announcing incremental export to S3 for Amazon DynamoDB
26 September 2023, AWS Blog

Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service is now available | Amazon Web Services
28 November 2023, AWS Blog

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Amazon Neptune now supports for Amazon OpenSearch 2.3, 2.5, and Serverless
22 February 2024, AWS Blog

AWS announces Amazon Neptune I/O-Optimized
22 February 2024, AWS Blog

Amazon Neptune announces support for data APIs in the AWS SDK
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Create a Virtual Knowledge Graph with Amazon Neptune and an Amazon S3 data lake | Amazon Web Services
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