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DBMS > Amazon Neptune vs. Dolt vs. Google Cloud Firestore vs. PouchDB

System Properties Comparison Amazon Neptune vs. Dolt vs. Google Cloud Firestore vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDolt  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA MySQL compatible DBMS with Git-like versioning of data and schemaCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.JavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Websiteaws.amazon.com/­neptunegithub.com/­dolthub/­dolt
www.dolthub.com
firebase.google.com/­products/­firestorepouchdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.dolthub.comfirebase.google.com/­docs/­firestorepouchdb.com/­guides
DeveloperAmazonDoltHub IncGoogleApache Software Foundation
Initial release2017201820172012
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScript
Server operating systemshostedLinux
macOS
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-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.nononono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoyesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
HTTP REST
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript 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
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyes, Firebase Rules & Cloud FunctionsView functions in JavaScript
Triggersnoyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
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.Multi-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Amazon NeptuneDoltGoogle Cloud FirestorePouchDB
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