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

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

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA 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 processingA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelKey-value storeSearch engineRelational DBMSDocument store
Graph DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvazure.microsoft.com/­en-us/­services/­searchspark.apache.org/­sqlsurrealdb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apilearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docs
DeveloperCloudflareMicrosoftApache Software FoundationSurrealDB Ltd
Initial release2018201520142022
Current releaseV13.5.0 ( 2.13), September 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaRust
Server operating systemshostedhostedLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIJDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
Java
JavaScript
Python
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes 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 systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
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 controlyes infousing Azure authenticationnoyes, based on authentication and database rules

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Cloudflare Workers KVMicrosoft Azure AI SearchSpark SQLSurrealDB
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