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DBMS > Cloudflare Workers KV vs. etcd vs. GigaSpaces vs. Google Cloud Firestore vs. Prometheus

System Properties Comparison Cloudflare Workers KV vs. etcd vs. GigaSpaces vs. Google Cloud Firestore vs. Prometheus

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonetcd  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A distributed reliable key-value storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud 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.Open-source Time Series DBMS and monitoring system
Primary database modelKey-value storeKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Document storeTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#278  Overall
#39  Key-value stores
Score7.64
Rank#54  Overall
#5  Key-value stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvetcd.io
github.com/­etcd-io/­etcd
www.gigaspaces.comfirebase.google.com/­products/­firestoreprometheus.io
Technical documentationdevelopers.cloudflare.com/­kv/­apietcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmlfirebase.google.com/­docs/­firestoreprometheus.io/­docs
DeveloperCloudflareGigaspaces TechnologiesGoogle
Initial release2018200020172015
Current release3.4, August 201915.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetGo
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
Windows
hostedLinux
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyesyesNumeric data only
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.nonono infoXML can be used for describing objects metadatanono infoImport of XML data possible
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsnono
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C++
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes, Firebase Rules & Cloud Functionsno
Triggersnoyes, watching key changesyes, event driven architectureyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistencynone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnoRole-based access controlAccess 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
Cloudflare Workers KVetcdGigaSpacesGoogle Cloud FirestorePrometheus
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