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DBMS > InfluxDB vs. LevelDB

System Properties Comparison InfluxDB vs. LevelDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.55
Rank#29  Overall
#1  Time Series DBMS
Score3.06
Rank#101  Overall
#18  Key-value stores
Websitewww.influxdata.com/­products/­influxdb-overviewgithub.com/­google/­leveldb
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­google/­leveldb/­blob/­master/­doc/­index.md
DeveloperGoogle
Initial release20132011
Current release2.0.8, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsLinux
OS X infothrough Homebrew
Illumos
Linux
OS X
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric 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.nono
Secondary indexesnono
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsHTTP API
JSON over UDP
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engine
User concepts infoAccess controlsimple rights management via user accountsno
More information provided by the system vendor
InfluxDBLevelDB
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 1,300 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest growing database to drive 23,500 GitHub stars Over 600,000 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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23 May 2022

Prescient Devices Makes Managing IoT Edge Devices Easy with InfluxDB
20 May 2022

TL;DR InfluxDB Tech Tips: Optimizations to aggregateWindow()
19 May 2022

Telegraf 1.22.4 released with updates to Couchbase, Azure, Statsd, and Wavefront plugins
18 May 2022

InfluxDB and Elementary School Science Fairs
16 May 2022

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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
InfluxDBLevelDB
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

Time Series Forecasting with TensorFlow and InfluxDB – The New Stack
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