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DBMS > Cloudflare Workers KV vs. Hive vs. Microsoft Access vs. Prometheus vs. YDB

System Properties Comparison Cloudflare Workers KV vs. Hive vs. Microsoft Access vs. Prometheus vs. YDB

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPrometheus  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.data warehouse software for querying and managing large distributed datasets, built on HadoopMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open-source Time Series DBMS and monitoring systemA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvhive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessprometheus.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdevelopers.cloudflare.com/­kv/­apicwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­accessprometheus.io/­docsydb.tech/­en/­docs
DeveloperCloudflareApache Software Foundation infoinitially developed by FacebookMicrosoftYandex
Initial release20182012199220152019
Current release3.1.3, April 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Go
Server operating systemshostedAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
Windows
Linux
Data schemeschema-freeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesNumeric data onlyyes
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.nono infoImport of XML data possibleno
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardnoSQL-like query language (YQL)
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP/JSON APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-enginenono
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneyes infoby FederationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003noAccess rights defined for Yandex Cloud users

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Cloudflare Workers KVHiveMicrosoft AccessPrometheusYDB
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