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DBMS > InfluxDB vs. Stardog

System Properties Comparison InfluxDB vs. Stardog

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsSemantic graph DBMS, developed in Java
Primary database modelTime Series DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.22
Rank#34  Overall
#1  Time Series DBMS
Score0.81
Rank#166  Overall
#12  Graph DBMS
#7  RDF stores
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.stardog.com
Technical documentationdocs.influxdata.com/­influxdbwww.stardog.com/­docs
DeveloperComplexible Inc.
Initial release20132010
Current release1.7.5, March 20194.2.4, March 2017
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsLinux
OS X infothrough Homebrew
All OS with a Java VM
Data schemeschema-freeschema-free
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 infoImport/export of XML data possible
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query language
APIs and other access methodsHTTP API
JSON over UDP
HTTP API
OWL
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnoyes infovia event handlers
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 onlyMaster-master replication in HA-Cluster infousing Apache ZooKeeper
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphs
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
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
User concepts infoAccess controlsimple rights management via user accountsAccess rights for users and roles
More information provided by the system vendor
InfluxDBStardog
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
InfluxDBStardog
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 charts new path for time series databases
10 April 2019, ZDNet

InfluxData and Google Cloud Partner to Offer Leading Time Series Database on Google Cloud Platform
9 April 2019, Business Wire

InfluxData raises $60 million for time-series database software
13 February 2019, VentureBeat

HashiCorp's Vault 1.1 introduces significant new functionality
26 March 2019, JAXenter

InfluxData and VMware Collaborate to Optimize Streaming Data Collected from IoT Devices
6 February 2019, Business Wire

provided by Google News

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