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DBMS > Amazon DynamoDB vs. Blueflood vs. Microsoft SQL Server vs. Prometheus

System Properties Comparison Amazon DynamoDB vs. Blueflood vs. Microsoft SQL Server vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBlueflood  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudScalable TimeSeries DBMS based on CassandraMicrosofts flagship relational DBMSOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­dynamodbblueflood.iowww.microsoft.com/­en-us/­sql-serverprometheus.io
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­rax-maas/­blueflood/­wikilearn.microsoft.com/­en-US/­sql/­sql-serverprometheus.io/­docs
DeveloperAmazonRackspaceMicrosoft
Initial release2012201319892015
Current releaseSQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++Go
Server operating systemshostedLinux
OS X
Linux
Windows
Linux
Windows
Data schemeschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.noyesno infoImport of XML data possible
Secondary indexesyesnoyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyes infoby integration with AWS Lambdanoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes, but depending on the SQL-Server Editionyes infoby Federation
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
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integritynonoyesno
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 regionnoACIDno
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.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nofine grained access rights according to SQL-standardno

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More resources
Amazon DynamoDBBluefloodMicrosoft SQL ServerPrometheus
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