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DBMS > Amazon Neptune vs. Dolt vs. InterSystems Caché vs. RavenDB

System Properties Comparison Amazon Neptune vs. Dolt vs. InterSystems Caché vs. RavenDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDolt  Xexclude from comparisonInterSystems Caché  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 MySQL compatible DBMS with Git-like versioning of data and schemaA multi-model DBMS and application serverOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Secondary database modelsDocument storeDocument storeGraph DBMS
Spatial DBMS
Time Series 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
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websiteaws.amazon.com/­neptunegithub.com/­dolthub/­dolt
www.dolthub.com
www.intersystems.com/­products/­cacheravendb.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.dolthub.comdocs.intersystems.comravendb.net/­docs
DeveloperAmazonDoltHub IncInterSystemsHibernating Rhinos
Initial release2017201819972010
Current release2018.1.4, May 20205.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#
Server operating systemshostedLinux
macOS
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesdepending on used data modelschema-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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language (RQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
HTTP REST
.NET Client API
JDBC
ODBC
RESTful HTTP API
.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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyesyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
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.A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault 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 graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, 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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Only one user is configurable, and must be specified in the config file at startupAccess rights for users, groups and rolesAuthorization levels configured per client per database

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More resources
Amazon NeptuneDoltInterSystems CachéRavenDB
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