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DBMS > Amazon Neptune vs. InterSystems Caché vs. Percona Server for MongoDB vs. RavenDB

System Properties Comparison Amazon Neptune vs. InterSystems Caché vs. Percona Server for MongoDB vs. RavenDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRavenDB  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 drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
RDF store
Key-value store
Object oriented DBMS
Relational DBMS
Document storeDocument store
Secondary database modelsDocument storeGraph 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
Score0.52
Rank#254  Overall
#39  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­neptunewww.intersystems.com/­products/­cachewww.percona.com/­mongodb/­software/­percona-server-for-mongodbravendb.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.comdocs.percona.com/­percona-distribution-for-mongodbravendb.net/­docs
DeveloperAmazonInterSystemsPerconaHibernating Rhinos
Initial release2017199720152010
Current release2018.1.4, May 20203.4.10-2.10, November 20175.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
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
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyesnoSQL-like query language (RQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesJavaScriptyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
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 replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID, Cluster-wide transaction available
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.yesyes infovia In-Memory Engine
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 rolesAuthorization levels configured per client per database

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More resources
Amazon NeptuneInterSystems CachéPercona Server for MongoDBRavenDB
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