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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. Sqrrl vs. SWC-DB

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. Sqrrl vs. SWC-DB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSqrrl  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatabase as a Service offering with high compatibility to Microsoft SQL ServerAdaptable, secure NoSQL built on Apache AccumuloA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Wide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­products/­azure-sql/­databasesqrrl.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAmazonAtos Convergence CreatorsMicrosoftAmazon infooriginally Sqrrl Data, Inc.Alex Kashirin
Initial release20172016201020122020
Current release1703V120.5, April 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemshostedLinuxhostedLinuxLinux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesnoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Proprietary protocol
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindings.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Server-side scripts infoStored proceduresnonoTransact SQLnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding infomaking use of HadoopSharding
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.yesyes, with always 3 replicas availableselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
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)LDAP bind authenticationfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon NeptuneAtos Standard Common RepositoryMicrosoft Azure SQL Database infoformerly SQL AzureSqrrlSWC-DB infoSuper Wide Column Database
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