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DBMS > Cloudflare Workers KV vs. Datomic vs. InfluxDB vs. Oracle Berkeley DB

System Properties Comparison Cloudflare Workers KV vs. Datomic vs. InfluxDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDBMS for storing time series, events and metricsWidely used in-process key-value store
Primary database modelKey-value storeRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comwww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.datomic.comdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCloudflareCognitectOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2018201220131994
Current release1.0.6735, June 20232.7.6, April 202418.1.40, May 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedAll OS with a Java VMLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesNumeric data and Stringsno
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnonoSQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIHTTP API
JSON over UDP
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
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
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnono
TriggersnoBy using transaction functionsnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infoDepending on used storage engineyes
User concepts infoAccess controlnosimple rights management via user accountsno
More information provided by the system vendor
Cloudflare Workers KVDatomicInfluxDBOracle Berkeley DB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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