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DBMS > Amazon DynamoDB vs. DataFS vs. Google Cloud Spanner

System Properties Comparison Amazon DynamoDB vs. DataFS vs. Google Cloud Spanner

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDataFS  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.
Primary database modelDocument store
Key-value store
Object oriented DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.73
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.00
Rank#392  Overall
#21  Object oriented DBMS
Score2.66
Rank#99  Overall
#50  Relational DBMS
Websiteaws.amazon.com/­dynamodbnewdatabase.comcloud.google.com/­spanner
Technical documentationdocs.aws.amazon.com/­dynamodbdev.mobiland.com/­Overview.xspcloud.google.com/­spanner/­docs
DeveloperAmazonMobiland AGGoogle
Initial release201220182017
Current release1.1.263, October 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedWindowshosted
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
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 indexesyesnoyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011
APIs and other access methodsRESTful HTTP API.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
VB.Net
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersyes infoby integration with AWS Lambdano, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACID infoStrict serializable isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Windows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon DynamoDBDataFSGoogle Cloud Spanner
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Recent citations in the news

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse | Amazon Web Services
3 December 2024, AWS Blog

Using attribute-based access control for tag-based access authorization with Amazon DynamoDB
18 November 2024, AWS Blog

Get started with Amazon DynamoDB zero-ETL integration with Amazon Redshift
17 October 2024, AWS Blog

Vector search for Amazon DynamoDB with zero ETL for Amazon OpenSearch Service
2 October 2024, AWS Blog

AWS introduces Amazon Aurora DSQL and DynamoDB enhancements for multi-region workloads
3 December 2024, SiliconANGLE News

provided by Google News

Google Cloud Spanner gets dual-region configuration option
23 July 2024, InfoWorld

New features make Google's Spanner a database for AI
1 August 2024, TechTarget

Google Cloud adds graph and vector search features to Spanner database
2 August 2024, Techzine Europe

Google's Cloud Spanner Now Spans Continents … Like It's Supposed to Do
31 May 2024, Data Center Knowledge

Google Cloud expands its database portfolio with new AI capabilities
1 August 2024, TechCrunch

provided by Google News



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