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DBMS > Amazon DynamoDB vs. Kingbase vs. Snowflake vs. Tkrzw

System Properties Comparison Amazon DynamoDB vs. Kingbase vs. Snowflake vs. Tkrzw

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonKingbase  Xexclude from comparisonSnowflake  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Cloud-based data warehousing service for structured and semi-structured dataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial 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
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteaws.amazon.com/­dynamodbwww.kingbase.com.cnwww.snowflake.comdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.snowflake.net/­manuals/­index.html
DeveloperAmazonBeiJing KINGBASE Information technologies inc.Snowflake Computing Inc.Mikio Hirabayashi
Initial release2012199920142020
Current releaseV8.0, August 20210.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaC++
Server operating systemshostedLinux
Windows
hostedLinux
macOS
Data schemeschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesyesno
Secondary indexesyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsyesno
APIs and other access methodsRESTful HTTP APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
CLI Client
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersyes infoby integration with AWS Lambdayesno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
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
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
Amazon DynamoDBKingbaseSnowflakeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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Recent citations in the news

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

AWS announces Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service
28 November 2023, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
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Simplify private connectivity to Amazon DynamoDB with AWS PrivateLink | Amazon Web Services
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