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DBMS > Cloudflare Workers KV vs. GeoMesa vs. PouchDB vs. Solr

System Properties Comparison Cloudflare Workers KV vs. GeoMesa vs. PouchDB vs. Solr

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGeoMesa  Xexclude from comparisonPouchDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.JavaScript DBMS with an API inspired by CouchDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeSpatial DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.geomesa.orgpouchdb.comsolr.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.geomesa.org/­documentation/­stable/­user/­index.htmlpouchdb.com/­guidessolr.apache.org/­resources.html
DeveloperCloudflareCCRi and othersApache Software FoundationApache Software Foundation
Initial release2018201420122006
Current release5.0.0, May 20247.1.1, June 20199.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaScriptJava
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesnoyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesnoyesyes infovia viewsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononoSolr Parallel SQL Interface
APIs and other access methodsHTTP REST
Proprietary protocol
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoView functions in JavaScriptJava plugins
Triggersnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layerEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagenoyes

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More resources
Cloudflare Workers KVGeoMesaPouchDBSolr
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