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DBMS > InfluxDB vs. Lovefield

System Properties Comparison InfluxDB vs. Lovefield

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScript
Primary database modelTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.00
Rank#34  Overall
#1  Time Series DBMS
Score0.20
Rank#254  Overall
#119  Relational DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbgoogle.github.io/­lovefield
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperGoogle
Initial release20132014
Current release1.7.6, April 20192.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
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 languageGoJavaScript
Server operating systemsLinux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language infovia JavaScript builder pattern
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
JavaScript
Server-side scripts infoStored proceduresnono
TriggersnoUsing read-only observers
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
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
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 infousing MemoryDB
User concepts infoAccess controlsimple rights management via user accountsno
More information provided by the system vendor
InfluxDBLovefield
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more

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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
InfluxDBLovefield
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

InfluxData Launches InfluxAces, Global Community Evangelist Program
1 July 2019, Yahoo Finance

Simplify Kubernetes in AWS with the Amazon EKS Service, Part 3: Dashboard and Components
10 July 2019, Virtualization Review

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

How you're losing developers' interest (and how to gain it)
3 July 2019, TechRepublic

InfluxData Opens InfluxDB Cloud 2.0 to Public Beta
7 May 2019, DevOps.com

provided by Google News

Lovefield: An SQL-like Query Engine by Google
18 November 2014, InfoQ.com

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7 October 2015, SitePoint

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