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DBMS > Apache Doris vs. Cloudflare Workers KV vs. Microsoft Azure AI Search vs. Spark SQL

System Properties Comparison Apache Doris vs. Cloudflare Workers KV vs. Microsoft Azure AI Search vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpark SQL  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.Search-as-a-service for web and mobile app developmentSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.cloudflare.com/­developer-platform/­workers-kvazure.microsoft.com/­en-us/­services/­searchspark.apache.org/­sql
Technical documentationgithub.com/­apache/­doris/­wikidevelopers.cloudflare.com/­kv/­apilearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation, originally contributed from BaiduCloudflareMicrosoftApache Software Foundation
Initial release2017201820152014
Current release1.2.2, February 2023V13.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemsLinuxhostedhostedLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
MySQL client
HTTP REST
Proprietary protocol
RESTful HTTP APIJDBC
ODBC
Supported programming languagesJavaC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
Java
JavaScript
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationno

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More resources
Apache DorisCloudflare Workers KVMicrosoft Azure AI SearchSpark SQL
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