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DBMS > Apache Doris vs. Cloudflare Workers KV vs. TDengine

System Properties Comparison Apache Doris vs. Cloudflare Workers KV vs. TDengine

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonTDengine  Xexclude from comparison
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.Time Series DBMS and big data platform
Primary database modelRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#244  Overall
#115  Relational DBMS
Score0.29
Rank#281  Overall
#40  Key-value stores
Score1.66
Rank#131  Overall
#10  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.cloudflare.com/­developer-platform/­workers-kvgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgithub.com/­apache/­doris/­wikidevelopers.cloudflare.com/­kv/­apidocs.tdengine.com
DeveloperApache Software Foundation, originally contributed from BaiduCloudflareTDEngine, previously Taos Data
Initial release201720182019
Current release1.2.2, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinuxhostedLinux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 SQLyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
MySQL client
HTTP REST
Proprietary protocol
JDBC
RESTful HTTP API
Supported programming languagesJavaC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Apache DorisCloudflare Workers KVTDengine
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more

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More resources
Apache DorisCloudflare Workers KVTDengine
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