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DBMS > InfluxDB vs. Oracle Berkeley DB vs. SiriDB

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

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used in-process key-value storeOpen Source Time Series DBMS
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
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.74
Rank#28  Overall
#1  Time Series DBMS
Score3.54
Rank#100  Overall
#17  Key-value stores
#3  Native XML DBMS
Score0.13
Rank#370  Overall
#37  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsiridb.com
Technical documentationdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.siridb.com
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleCesbit
Initial release201319942017
Current release2.7.1, April 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono
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)C
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsnoyes infoNumeric data
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 indexesnoyesyes
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
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C++
Go
Python
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 engineyesyes
User concepts infoAccess controlsimple rights management via user accountsnosimple rights management via user accounts
More information provided by the system vendor
InfluxDBOracle Berkeley DBSiriDB
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 25,500 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
News

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfluxDBOracle Berkeley DBSiriDB
DB-Engines blog posts

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

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

InfluxDB Clustered targets on-premises time-series database deployments
6 September 2023, InfoWorld

Time-series database startup InfluxData debuts self-managed ...
6 September 2023, SiliconANGLE News

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Oracle switches Berkeley DB license
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Margo Seltzer Named ACM Athena Lecturer for Technical and ...
26 April 2023, HPCwire

Mageia 9 Released With Linux Kernel 6.4 and PulseAudio Support
29 August 2023, It's FOSS News

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SiriDB tijdreeks database analyseert time series data vanuit elke bron
10 April 2023, Dutch IT Channel

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18 July 2020, abclinuxu.cz

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