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DBMS > Blueflood vs. Cloudflare Workers KV vs. Riak KV vs. TDSQL for MySQL

System Properties Comparison Blueflood vs. Cloudflare Workers KV vs. Riak KV vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonRiak KV  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Distributed, fault tolerant key-value storeA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websiteblueflood.iowww.cloudflare.com/­developer-platform/­workers-kvwww.tencentcloud.com/­products/­dcdb
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidevelopers.cloudflare.com/­kv/­apiwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.tencentcloud.com/­document/­product/­1042
DeveloperRackspaceCloudflareOpenSource, formerly Basho TechnologiesTencent
Initial release2013201820092013
Current release3.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlang
Server operating systemsLinux
OS X
hostedLinux
OS X
hosted
Data schemepredefined schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nononono
Secondary indexesnonorestrictedyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP RESTHTTP REST
Proprietary protocol
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoErlangyes
Triggersnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infono "single point of failure"Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoyes, using Riak SecurityUsers with fine-grained authorization concept

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More resources
BluefloodCloudflare Workers KVRiak KVTDSQL for MySQL
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