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DBMS > Cloudflare Workers KV vs. Hive vs. IBM Cloudant vs. MonetDB vs. Splice Machine

System Properties Comparison Cloudflare Workers KV vs. Hive vs. IBM Cloudant vs. MonetDB vs. Splice Machine

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMonetDB  Xexclude from comparisonSplice Machine  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 HadoopDatabase as a Service offering based on Apache CouchDBA relational database management system that stores data in columnsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvhive.apache.orgwww.ibm.com/­products/­cloudantwww.monetdb.orgsplicemachine.com
Technical documentationdevelopers.cloudflare.com/­kv/­apicwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudantwww.monetdb.org/­Documentationsplicemachine.com/­how-it-works
DeveloperCloudflareApache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MonetDB BVSplice Machine
Initial release20182012201020042014
Current release3.1.3, April 2022Dec2023 (11.49), December 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangCJava
Server operating systemshostedAll OS with a Java VMhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infoSQL 2003 with some extensionsyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
Thrift
RESTful HTTP/JSON APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScriptyes, in SQL, C, Ryes infoJava
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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Cloudflare Workers KVHiveIBM CloudantMonetDBSplice Machine
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