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DBMS > Heroic vs. InfluxDB vs. Solr vs. TempoIQ vs. Warp 10

System Properties Comparison Heroic vs. InfluxDB vs. Solr vs. TempoIQ vs. Warp 10

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonInfluxDB  Xexclude from comparisonSolr  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonWarp 10  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDBMS for storing time series, events and metricsA widely used distributed, scalable search engine based on Apache LuceneScalable analytics DBMS for sensor data, provided as a service (SaaS)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSTime Series DBMSSearch engineTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­spotify/­heroicwww.influxdata.com/­products/­influxdb-overviewsolr.apache.orgtempoiq.com (offline)www.warp10.io
Technical documentationspotify.github.io/­heroicdocs.influxdata.com/­influxdbsolr.apache.org/­resources.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperSpotifyApache Software FoundationTempoIQSenX
Initial release20142013200620122015
Current release2.7.6, April 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaJava
Server operating systemsLinux
OS X infothrough Homebrew
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infosupports customizable data types and automatic typingyesyes
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.nonoyesnono
Secondary indexesyes infovia Elasticsearchnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageSolr Parallel SQL Interfacenono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JSON over UDP
Java API
RESTful HTTP/JSON API
HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoJava pluginsnoyes infoWarpScript
Triggersnonoyes infoUser configurable commands triggered on index changesyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlyyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyesnoyes
User concepts infoAccess controlsimple rights management via user accountsyessimple authentication-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
HeroicInfluxDBSolrTempoIQ infoformerly TempoDBWarp 10
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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