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DBMS > ClickHouse vs. Cloudflare Workers KV vs. Dragonfly

System Properties Comparison ClickHouse vs. Cloudflare Workers KV vs. Dragonfly

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDragonfly  Xexclude from comparison
DescriptionA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.A 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 instance
Primary database modelRelational DBMSKey-value storeKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score0.32
Rank#274  Overall
#40  Key-value stores
Score0.53
Rank#244  Overall
#35  Key-value stores
Websiteclickhouse.comwww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
Technical documentationclickhouse.com/­docsdevelopers.cloudflare.com/­kv/­apiwww.dragonflydb.io/­docs
DeveloperClickhouse Inc.CloudflareDragonflyDB team and community contributors
Initial release201620182023
Current releasev24.6.2.17-stable, July 20241.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSL 1.1
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsFreeBSD
Linux
macOS
hostedLinux
Data schemeyesschema-freescheme-free
Typing infopredefined data types such as float or dateyesnostrings, hashes, lists, sets, sorted sets, bit arrays
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 indexesyesnono
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)nono
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP REST
Proprietary protocol
Proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C
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
Server-side scripts infoStored proceduresyesnoLua
Triggersnonopublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodeskey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of command blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the server
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Password-based authentication

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ClickHouseCloudflare Workers KVDragonfly
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