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DBMS > Cloudflare Workers KV vs. Oracle Berkeley DB vs. Transbase vs. VictoriaMetrics

System Properties Comparison Cloudflare Workers KV vs. Oracle Berkeley DB vs. Transbase vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTransbase  Xexclude from comparisonVictoriaMetrics  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 storeA resource-optimized, high-performance, universally applicable RDBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.transaction.de/­en/­products/­transbase.htmlvictoriametrics.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCloudflareOracle infooriginally developed by Sleepycat, which was acquired by OracleTransaction Software GmbHVictoriaMetrics
Initial release2018199419872018
Current release18.1.40, May 2020Transbase 8.3, 2022v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercial infofree development licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C and C++Go
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
macOS
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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 indexesnoyesyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableyesno
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
Proprietary native API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
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
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVOracle Berkeley DBTransbaseVictoriaMetrics
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