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DBMS > InfluxDB

InfluxDB Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit InfluxDB zu vergleichen.

Unsere Besucher vergleichen InfluxDB oft mit Graphite, Prometheus und TimescaleDB.

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NameInfluxDB
KurzbeschreibungDBMS for storing time series, events and metrics
Primäres DatenbankmodellTime Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte19,62
Rang#33  Overall
#1  Time Series DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdb
Technische Dokumentationdocs.influxdata.com/­influxdb
Erscheinungsjahr2013
Aktuelle Version1.7.8, August 2019
Lizenz infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheGo
Server BetriebssystemeLinux
OS X infothrough Homebrew
Datenschemaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric data and Strings
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
Sekundärindizesnein
SQL infoSupport of SQLSQL-like query language
APIs und andere ZugriffskonzepteHTTP API
JSON over UDP
Unterstützte Programmiersprachen.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-seitige Scripts infoStored Proceduresnein
Triggersnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoin enterprise version only
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infoin enterprise version only
MapReduce infoBietet ein API für Map/Reduce Operationennein
Fremdschlüssel inforeferenzielle Integritätnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoDepending on used storage engine
Berechtigungskonzept infoZugriffskontrolleEinfache Rechteverwaltung mit Benutzeraccounts
Weitere Informationen bereitgestellt vom Systemhersteller
InfluxDB
Specific characteristics

InfluxData is the creator of InfluxDB, the open source time series database. It is purpose-built to handle the massive volumes of time-stamped data produced by IoT devices, applications, networks, containers and computers. InfluxDB supports high write loads, large data set storage, and conserves space thru downsampling, automatically expiring and deleting unwanted data as well as backup and restore. InfluxDB also makes it easy to analyze data by providing an easy-to-use SQL-like query language.
You can graph and visualize your data with the open source project Chronograf, and perform ad hoc exploration of your data. It includes support for templates and a library of intelligent, pre-configured dashboards for common data sets. In addition, InfluxDB supports other tools such as Grafana.

Competitive advantages

Time to Value

An end-to-end platform, InfluxData is ready to go on the cloud or via download. Deploy and begin building your application right on top in minutes, not days or weeks. Built to maximize developer happiness, InfluxData is elegant and simple to use, free of external dependencies, yet open and flexible enough for complex deployments. Get real value faster.

Real Action in Real-Time

InfluxData gives you visibility with real-time access out of the gate so you can quickly find value in your data — identify patterns, predict the future, control systems, and turn insight into action. Whether your data comes from humans, machines, or sensors, get instant insights and stay ahead of the curve.

Fast, Scalable, Available

InfluxData™s powerful engine is fast, supporting millions of writes per second, meeting the demands of even the largest monitoring and IoT deployments. And with native clustering, InfluxData offers high availability ”eliminating single points of failure” and simple scale-out.

Typical application scenarios

IoT & Sensor Monitoring

Instrumentation of every available surface in the material world, from machines to humans is a reality. Everything inside and outside the compute is emitting a relentless stream of metrics and events. The sheer volume of data is astronomical, and growing exponentially, creating unique opportunities for businesses that can monitor and react to this data in real-time. Traditional monitoring solutions just don't have the speed, footprint, and uptime needed for this market.

DevOps Monitoring

Emerging trends like microservices, containerization, elastic storage, Software Defined Networking, Hybrid clouds, etc, all keep pushing the boundaries of what constitutes DevOps Monitoring. The number of endpoints and the variety of metrics that need monitoring forces a reconsideration of the one-size fits all mentality. Modern DevOps monitoring needs to be flexible enough to handle unique application and infrastructure metrics on a common framework.

Real-Time Analytics

The volume of metrics and events is beyond what any human is able to realistically interpret and take action. Machine learning with real-time analytics is crucial in finding the signal from the noise. Whether the organization needs real-time analytics to buy and sell equities, perform predictive maintenance on a machine before it fails, adjust prices based on customer behavior: processing, analyzing and acting on the time-series data in real-time is the problem to solve.

Key customers

InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and Mulesoft. 

Market metrics

Fastest growing database to garnish 17,000 github stars

Over 260,000 daily active instances

Licensing and pricing models

Open source core with closed source clustering available either on-premise or on the cloud as a managed service. All offerings are available via subscription. 

Neuigkeiten

Why I Joined InfluxData
17. Oktober 2019

Starting at InfluxDB – New Job, New Commute
15. Oktober 2019

A Move to the Cloud and Other Highlights from InfluxData’s Third Quarter
14. Oktober 2019

InfluxDB 2.0 Documentation is Now Open Source
14. Oktober 2019

Using InfluxDB Cloud to Monitor GitHub Repos
11. Oktober 2019

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Weitere Ressourcen
InfluxDB
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

alle anzeigen

Erwähnungen in aktuellen Nachrichten

InfluxData Releases Serverless Time Series Database for Cloud
23. September 2019, ADT Magazine

InfluxData Opens London Office to Meet Demand as Time Series Databases Take off in EMEA
9. Oktober 2019, Yahoo Finance

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10. September 2019, Business Wire

An Introduction to InfluxDB
5. August 2019, The Collegian

InfluxData launches new serverless time series cloud database platform, InfluxDB Cloud 2.0
12. September 2019, Packt Hub

bereitgestellt von Google News

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