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DBMS > Cloudflare Workers KV vs. Dragonfly vs. Firebolt vs. Trafodion

System Properties Comparison Cloudflare Workers KV vs. Dragonfly vs. Firebolt vs. Trafodion

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDragonfly  Xexclude from comparisonFirebolt  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.73
Rank#140  Overall
#63  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.firebolt.iotrafodion.apache.org
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.dragonflydb.io/­docsdocs.firebolt.iotrafodion.apache.org/­documentation.html
DeveloperCloudflareDragonflyDB team and community contributorsFirebolt Analytics Inc.Apache Software Foundation, originally developed by HP
Initial release2018202320202014
Current release1.0, March 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Java
Server operating systemshostedLinuxhostedLinux
Data schemeschema-freescheme-freeyesyes
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsHTTP REST
Proprietary protocol
Proprietary protocol infoRESP - REdis Serialization Protocol.Net
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Go
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoLuanoJava Stored Procedures
Triggersnopublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationdepending on storage layeryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVDragonflyFireboltTrafodion
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