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DBMS > Amazon Neptune vs. Memcached vs. Microsoft SQL Server vs. Postgres-XL

System Properties Comparison Amazon Neptune vs. Memcached vs. Microsoft SQL Server vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudIn-memory key-value store, originally intended for cachingMicrosofts flagship relational DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­neptunewww.memcached.orgwww.microsoft.com/­en-us/­sql-serverwww.postgres-xl.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgres-xl.org/­documentation
DeveloperAmazonDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release2017200319892014 infosince 2012, originally named StormDB
Current release1.6.27, May 2024SQL Server 2022, November 202210 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial inforestricted free version is availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoXML type, but no XML query functionality
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyes infodistributed, parallel query execution
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning
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.none infoRepcached, a Memcached patch, provides this functionallityyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restnoyesyes
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)yes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneMemcachedMicrosoft SQL ServerPostgres-XL
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