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DBMS > Cloudflare Workers KV vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. ObjectBox vs. Sphinx

System Properties Comparison Cloudflare Workers KV vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. ObjectBox vs. Sphinx

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  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 developmentGlobally distributed, horizontally scalable, multi-model database serviceExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMSSearch engine
Secondary database modelsVector DBMSSpatial DBMSTime Series 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
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.cloudflare.com/­developer-platform/­workers-kvazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­cosmos-dbobjectbox.iosphinxsearch.com
Technical documentationdevelopers.cloudflare.com/­kv/­apilearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­azure/­cosmos-dbdocs.objectbox.iosphinxsearch.com/­docs
DeveloperCloudflareMicrosoftMicrosoftObjectBox LimitedSphinx Technologies Inc.
Initial release20182015201420172001
Current releaseV13.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemshostedhostedhostedAndroid
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes infoJSON typesyesno
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 indexesnoyesyes infoAll properties auto-indexed by defaultyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary native APIProprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
Java
JavaScript
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoJavaScriptnono
TriggersnonoJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud serviceonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partitionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 authenticationAccess rights can be defined down to the item levelyesno
More information provided by the system vendor
Cloudflare Workers KVMicrosoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBObjectBoxSphinx
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