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DBMS > Amazon Neptune vs. InterSystems Caché vs. Pinecone vs. Prometheus

System Properties Comparison Amazon Neptune vs. InterSystems Caché vs. Pinecone vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPinecone  Xexclude from comparisonPrometheus  Xexclude from comparison
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 cloudA multi-model DBMS and application serverA managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring system
Primary database modelGraph DBMS
RDF store
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMSTime Series 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
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.intersystems.com/­products/­cachewww.pinecone.ioprometheus.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.comdocs.pinecone.io/­docs/­overviewprometheus.io/­docs
DeveloperAmazonInterSystemsPinecone Systems, Inc
Initial release2017199720192015
Current release2018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemeschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesString, Number, BooleanNumeric data only
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.noyesnono infoImport of XML data possible
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
Python.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
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 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.Source-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
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 rolesno

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More resources
Amazon NeptuneInterSystems CachéPineconePrometheus
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