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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. AnzoGraph DB vs. STSdb vs. Valentina Server

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. AnzoGraph DB vs. STSdb vs. Valentina Server

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonSTSdb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodObject-relational database and reports server
Primary database modelGraph DBMS
RDF store
Key-value storeGraph DBMS
RDF store
Key-value storeRelational 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
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbcambridgesemantics.com/­anzographgithub.com/­STSSoft/­STSdb4www.valentina-db.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonAmazonCambridge SemanticsSTS Soft SCParadigma Software
Initial release20172007201820111999
Current release2.3, January 20214.0.8, September 20155.7.5
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availableOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#
Server operating systemshostedhostedLinuxWindowsLinux
OS X
Windows
Data schemeschema-freeschema-freeSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesnoyes infoprimitive types and user defined types (classes)yes
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.nono
Secondary indexesnoyes infoAll columns are indexed automaticallynonoyes
SQL infoSupport of SQLnonoSPARQL and SPARQL* as primary query language. Cypher preview.noyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client APIODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
C#
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesnoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationAutomatic shardingnone
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.yesMulti-source replication in MPP-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Amazon NeptuneAmazon SimpleDBAnzoGraph DBSTSdbValentina Server
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