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DBMS > Cloudflare Workers KV vs. etcd vs. Google Cloud Datastore vs. Lovefield vs. SiteWhere

System Properties Comparison Cloudflare Workers KV vs. etcd vs. Google Cloud Datastore vs. Lovefield vs. SiteWhere

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLovefield  Xexclude from comparisonSiteWhere  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 storeAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable relational database for web apps written in pure JavaScriptM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeKey-value storeDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­datastoregoogle.github.io/­lovefieldgithub.com/­sitewhere/­sitewhere
Technical documentationdevelopers.cloudflare.com/­kv/­apietcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­datastore/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsitewhere1.sitewhere.io/­index.html
DeveloperCloudflareGoogleGoogleSiteWhere
Initial release2018200820142010
Current release3.4, August 20192.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaScriptJava
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyespredefined scheme
Typing infopredefined data types such as float or datenonoyes, details hereyesyes
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 indexesnonoyesyesno
SQL infoSupport of SQLnonoSQL-like query language (GQL)SQL-like query language infovia JavaScript builder patternno
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC
JSON over HTTP
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
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
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnonousing Google App Engineno
Triggersnoyes, watching key changesCallbacks using the Google Apps EngineUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBase
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 using Paxosnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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.Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing MemoryDBno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept

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More resources
Cloudflare Workers KVetcdGoogle Cloud DatastoreLovefieldSiteWhere
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