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DBMS > Amazon DynamoDB vs. Databend vs. DataFS

System Properties Comparison Amazon DynamoDB vs. Databend vs. DataFS

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatabend  Xexclude from comparisonDataFS  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAll 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.
Primary database modelDocument store
Key-value store
Relational DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Websiteaws.amazon.com/­dynamodbgithub.com/­datafuselabs/­databend
www.databend.com
newdatabase.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.databend.comdev.mobiland.com/­Overview.xsp
DeveloperAmazonDatabend LabsMobiland AG
Initial release201220212018
Current release1.0.59, April 20231.1.263, October 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRust
Server operating systemshostedhosted
Linux
macOS
Windows
Data schemeschema-freeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)
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 indexesyesnono
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
VB.Net
Server-side scripts infoStored proceduresnono
Triggersyes infoby integration with AWS Lambdanono, except callback-events from server when changes happened
Partitioning methods infoMethods for storing different data on different nodesShardingnoneProprietary Sharding system
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
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 integritynonoyes
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 regionyesACID
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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept, user rolesWindows-Profile

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More resources
Amazon DynamoDBDatabendDataFS
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Use Amazon DynamoDB incremental exports to drive continuous data retention | Amazon Web Services
12 June 2024, AWS Blog

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28 November 2023, AWS Blog

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20 March 2024, AWS Blog

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19 March 2024, AWS Blog

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