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DBMS > Amazon Neptune vs. Microsoft SQL Server vs. RavenDB vs. searchxml

System Properties Comparison Amazon Neptune vs. Microsoft SQL Server vs. RavenDB vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRavenDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudMicrosofts flagship relational DBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeNative XML DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websiteaws.amazon.com/­neptunewww.microsoft.com/­en-us/­sql-serverravendb.netwww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­neptune/­developer-resourceslearn.microsoft.com/­en-US/­sql/­sql-serverravendb.net/­docswww.searchxml.net/­support/­handouts
DeveloperAmazonMicrosoftHibernating Rhinosinformationpartners gmbh
Initial release2017198920102015
Current releaseSQL Server 2022, November 20225.4, July 20221.0
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoAGPL version 3, commercial license availablecommercial
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 languageC++C#C++
Server operating systemshostedLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (RQL)no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesyes infoon the application server
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes, but depending on the SQL-Server EditionMulti-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availablemultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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-standardAuthorization levels configured per client per databaseDomain, group and role-based access control at the document level and for application services

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More resources
Amazon NeptuneMicrosoft SQL ServerRavenDBsearchxml
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