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DBMS > Amazon Neptune vs. CouchDB vs. EXASOL vs. Google Cloud Datastore

System Properties Comparison Amazon Neptune vs. CouchDB vs. EXASOL vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score9.30
Rank#45  Overall
#7  Document stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Websiteaws.amazon.com/­neptunecouchdb.apache.orgwww.exasol.comcloud.google.com/­datastore
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.couchdb.org/­en/­stablewww.exasol.com/­resourcescloud.google.com/­datastore/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerExasolGoogle
Initial release2017200520002008
Current release3.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlang
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, details here
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.nononono
Secondary indexesnoyes infovia viewsyesyes
SQL infoSupport of SQLnonoyesSQL-like query language (GQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP/JSON API.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptuser defined functionsusing Google App Engine
TriggersnoyesyesCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0ShardingSharding
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.Multi-source replication
Source-replica replication
Multi-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoHadoop integrationyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon NeptuneCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EXASOLGoogle Cloud Datastore
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