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DBMS > Amazon Neptune vs. Hypertable vs. InterSystems Caché vs. Valentina Server

System Properties Comparison Amazon Neptune vs. Hypertable vs. InterSystems Caché vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHypertable  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonValentina Server  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudAn open source BigTable implementation based on distributed file systems such as HadoopA multi-model DBMS and application serverObject-relational database and reports server
Primary database modelGraph DBMS
RDF store
Wide column storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteaws.amazon.com/­neptunewww.intersystems.com/­products/­cachewww.valentina-db.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonHypertable Inc.InterSystemsParadigma Software
Initial release2017200919971999
Current release0.9.8.11, March 20162018.1.4, May 20205.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freedepending on used data modelyes
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.noyes
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
C++ API
Thrift
.NET Client API
JDBC
ODBC
RESTful HTTP API
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
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.selectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneHypertableInterSystems CachéValentina Server
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