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DBMS > InfluxDB vs. Oracle Berkeley DB vs. Yanza

System Properties Comparison InfluxDB vs. Oracle Berkeley DB vs. Yanza

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used in-process key-value storeTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score2.71
Rank#91  Overall
#15  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#343  Overall
#30  Time Series DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlyanza.com
Technical documentationdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleYanza
Initial release201319942015
Current release1.7.8, August 201918.1 (Core), June 2018
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsnono
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 editionno
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query languageyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsHTTP API
JSON over UDP
HTTP API
Supported programming languages.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
Perl
Python
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoonly for the SQL APIyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes
User concepts infoAccess controlsimple rights management via user accountsnono

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More resources
InfluxDBOracle Berkeley DBYanza
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

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4 July 2016, Matthias Gelbmann

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1 June 2015, Paul Andlinger

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Recent citations in the news

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

InfluxData Opens London Office to Meet Demand as Time Series Databases Take off in EMEA
9 October 2019, Yahoo Finance

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

An Introduction to InfluxDB
5 August 2019, The Collegian

provided by Google News

Getting Started with Oracle Berkeley DB
5 July 2015, DZone News

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

Under the Hood: Oracle Berkeley DB XML
7 May 2008, XML.com

Oracle's First Dozen Cloud Blockchain Applications Are Now Live
12 February 2019, CoinDesk

provided by Google News

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