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DBMS > Cloudflare Workers KV vs. EJDB vs. Hive vs. Yaacomo

System Properties Comparison Cloudflare Workers KV vs. EJDB vs. Hive vs. Yaacomo

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEJDB  Xexclude from comparisonHive  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Embeddable document-store database library with JSON representation of queries (in MongoDB style)data warehouse software for querying and managing large distributed datasets, built on HadoopOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­Softmotions/­ejdbhive.apache.orgyaacomo.com
Technical documentationdevelopers.cloudflare.com/­kv/­apigithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperCloudflareSoftmotionsApache Software Foundation infoinitially developed by FacebookQ2WEB GmbH
Initial release2018201220122009
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedserver-lessAll OS with a Java VMAndroid
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyes
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
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP REST
Proprietary protocol
in-process shared libraryJDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduce
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
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.noyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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Cloudflare Workers KVEJDBHiveYaacomo
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