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DBMS > Cloudflare Workers KV vs. Oracle Berkeley DB vs. SQLite vs. YottaDB

System Properties Comparison Cloudflare Workers KV vs. Oracle Berkeley DB vs. SQLite vs. YottaDB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonOracle Berkeley DB  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.Widely used in-process key-value storeWidely used embeddable, in-process RDBMSA fast and solid embedded Key-value store
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#283  Overall
#40  Key-value stores
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sqlite.orgyottadb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sqlite.org/­docs.htmlyottadb.com/­resources/­documentation
DeveloperCloudflareOracle infooriginally developed by Sleepycat, which was acquired by OracleDwayne Richard HippYottaDB, LLC
Initial release2018199420002001
Current release18.1.40, May 20203.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen Source infoPublic DomainOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)CC
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-lessDocker
Linux
Data schemeschema-freeschema-freeyes infodynamic column typesschema-free
Typing infopredefined data types such as float or datenonoyes 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 infoonly with the Berkeley DB XML editionnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableyes infoSQL-92 is not fully supportedby using the Octo plugin
APIs and other access methodsHTTP REST
Proprietary protocol
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
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
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 proceduresnonono
Triggersnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infovia file-system locks
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.noyesyesyes
User concepts infoAccess controlnonoUsers and groups based on OS-security mechanisms

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More resources
Cloudflare Workers KVOracle Berkeley DBSQLiteYottaDB
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