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DBMS > Cloudflare Workers KV vs. Greenplum vs. mSQL vs. SQLite vs. YottaDB

System Properties Comparison Cloudflare Workers KV vs. Greenplum vs. mSQL vs. SQLite vs. YottaDB

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGreenplum  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSQLite  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.mSQL (Mini SQL) is a simple and lightweight RDBMSWidely used embeddable, in-process RDBMSA fast and solid embedded Key-value store
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvgreenplum.orghughestech.com.au/­products/­msqlwww.sqlite.orgyottadb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.greenplum.orgwww.sqlite.org/­docs.htmlyottadb.com/­resources/­documentation
DeveloperCloudflarePivotal Software Inc.Hughes TechnologiesDwayne Richard HippYottaDB, LLC
Initial release20182005199420002001
Current release7.0.0, September 20234.4, October 20213.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoPublic DomainOpen Source infoAGPL 3.0
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 languageCCC
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-lessDocker
Linux
Data schemeschema-freeyesyesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infonot rigid because of 'dynamic typing' concept.no
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.noyes infosince Version 4.2nonono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infoSQL-92 is not fully supportedby using the Octo plugin
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
Java
Perl
Python
R
C
C++
Delphi
Java
Perl
PHP
Tcl
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infovia file-system locks
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.nononoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoUsers and groups based on OS-security mechanisms

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More resources
Cloudflare Workers KVGreenplummSQL infoMini SQLSQLiteYottaDB
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