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DBMS > Amazon Neptune vs. Microsoft SQL Server

System Properties Comparison Amazon Neptune vs. Microsoft SQL Server

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Our visitors often compare Amazon Neptune and Microsoft SQL Server with Microsoft Azure Cosmos DB, Neo4j and Amazon DynamoDB.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudMicrosofts flagship relational DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#115  Overall
#8  Graph DBMS
#5  RDF stores
Score991.07
Rank#3  Overall
#3  Relational DBMS
Websiteaws.amazon.com/­neptunewww.microsoft.com/­en-us/­sql-server
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperAmazonMicrosoft
Initial release20171989
Current releaseSQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLnoyes
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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-standard

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More resources
Amazon NeptuneMicrosoft SQL Server
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