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DBMS > Amazon Neptune vs. Cloudflare Workers KV vs. Google Cloud Firestore vs. MonetDB vs. YDB

System Properties Comparison Amazon Neptune vs. Cloudflare Workers KV vs. Google Cloud Firestore vs. MonetDB vs. YDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMonetDB  Xexclude from comparisonYDB  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.Cloud 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.A relational database management system that stores data in columnsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
RDF store
Key-value storeDocument storeRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.32
Rank#283  Overall
#40  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteaws.amazon.com/­neptunewww.cloudflare.com/­developer-platform/­workers-kvfirebase.google.com/­products/­firestorewww.monetdb.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdevelopers.cloudflare.com/­kv/­apifirebase.google.com/­docs/­firestorewww.monetdb.org/­Documentationydb.tech/­en/­docs
DeveloperAmazonCloudflareGoogleMonetDB BVYandex
Initial release20172018201720042019
Current releaseDec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesnonoyesyesyes
SQL infoSupport of SQLnononoyes infoSQL 2003 with some extensionsSQL-like query language (YQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP REST
Proprietary protocol
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsyes, in SQL, C, Rno
Triggersnonoyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding via remote tablesSharding
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.yesMulti-source replicationnone infoSource-replica replication available in experimental statusActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDACID
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.nono
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 roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Amazon NeptuneCloudflare Workers KVGoogle Cloud FirestoreMonetDBYDB
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