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DBMS > Amazon Neptune vs. Cloudflare Workers KV vs. DataFS vs. etcd vs. Google Cloud Firestore

System Properties Comparison Amazon Neptune vs. Cloudflare Workers KV vs. DataFS vs. etcd vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDataFS  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A distributed reliable key-value storeCloud 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.
Primary database modelGraph DBMS
RDF store
Key-value storeObject oriented DBMSKey-value storeDocument store
Secondary database modelsGraph 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
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Websiteaws.amazon.com/­neptunewww.cloudflare.com/­developer-platform/­workers-kvnewdatabase.cometcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestore
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdevelopers.cloudflare.com/­kv/­apidev.mobiland.com/­Overview.xspetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperAmazonCloudflareMobiland AGGoogle
Initial release2017201820182017
Current release1.1.263, October 20223.4, August 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedhostedWindowsFreeBSD
Linux
Windows infoexperimental
hosted
Data schemeschema-freeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonononono
Secondary indexesnonononoyes
SQL infoSupport of SQLnonononono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP REST
Proprietary protocol
.NET Client API
Proprietary client DLL
WinRT client
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C#
C++
VB.Net
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnononoyes, Firebase Rules & Cloud Functions
Triggersnonono, except callback-events from server when changes happenedyes, watching key changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnoneProprietary Sharding systemSharding
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.yesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Windows-ProfilenoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon NeptuneCloudflare Workers KVDataFSetcdGoogle Cloud Firestore
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