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DBMS > InfluxDB vs. Lovefield vs. Solr vs. Tkrzw

System Properties Comparison InfluxDB vs. Lovefield vs. Solr vs. Tkrzw

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonSolr  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptA widely used distributed, scalable search engine based on Apache LuceneA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldsolr.apache.orgdbmx.net/­tkrzw
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsolr.apache.org/­resources.html
DeveloperGoogleApache Software FoundationMikio Hirabayashi
Initial release2013201420062020
Current release2.7.6, April 20242.1.12, February 20179.5.0, February 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScriptJavaC++
Server operating systemsLinux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes infosupports customizable data types and automatic typingno
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.nonoyesno
Secondary indexesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query language infovia JavaScript builder patternSolr Parallel SQL Interfaceno
APIs and other access methodsHTTP API
JSON over UDP
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoJava pluginsno
TriggersnoUsing read-only observersyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
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 MemoryDByesyes infousing specific database classes
User concepts infoAccess controlsimple rights management via user accountsnoyesno
More information provided by the system vendor
InfluxDBLovefieldSolrTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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More resources
InfluxDBLovefieldSolrTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
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Amazon Timestream: Managed InfluxDB for Time Series Data
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InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
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How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
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