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DBMS > Apache Doris vs. Cloudflare Workers KV vs. IRONdb vs. PouchDB vs. Realm

System Properties Comparison Apache Doris vs. Cloudflare Workers KV vs. IRONdb vs. PouchDB vs. Realm

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonIRONdb  Xexclude from comparisonPouchDB  Xexclude from comparisonRealm  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityJavaScript DBMS with an API inspired by CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSKey-value storeTime Series DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
www.cloudflare.com/­developer-platform/­workers-kvwww.circonus.com/solutions/time-series-database/pouchdb.comrealm.io
Technical documentationgithub.com/­apache/­doris/­wikidevelopers.cloudflare.com/­kv/­apidocs.circonus.com/irondb/category/getting-startedpouchdb.com/­guidesrealm.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduCloudflareCirconus LLC.Apache Software FoundationRealm, acquired by MongoDB in May 2019
Initial release20172018201720122014
Current release1.2.2, February 2023V0.10.20, January 20187.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++JavaScript
Server operating systemsLinuxhostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infotext, numeric, histogramsnoyes
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 indexesyesnonoyes infovia viewsyes
SQL infoSupport of SQLyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsJDBC
MySQL client
HTTP REST
Proprietary protocol
HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsnoyes, in LuaView functions in JavaScriptno inforuns within the applications so server-side scripts are unnecessary
Triggersnononoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodeSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesconfigurable replication factor, datacenter awareMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nononoyesyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes

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Apache DorisCloudflare Workers KVIRONdbPouchDBRealm
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