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DBMS > Amazon Neptune vs. InterSystems Caché vs. Kinetica

System Properties Comparison Amazon Neptune vs. InterSystems Caché vs. Kinetica

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA multi-model DBMS and application serverGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelGraph DBMS
RDF store
Key-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
Score2.35
Rank#115  Overall
#6  Graph DBMS
#4  RDF stores
Score3.54
Rank#88  Overall
#16  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Score0.75
Rank#193  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­neptunewww.intersystems.com/­products/­cachewww.kinetica.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.comwww.kinetica.com/­docs
DeveloperAmazonInterSystemsKinetica
Initial release201719972012
Current release2017.2, October 20176.0
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and rolesAccess rights for users and roles on table level

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More resources
Amazon NeptuneInterSystems CachéKinetica
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