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An open-source distributed time series database with no external dependencies
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What is InfluxDB?

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
InfluxDB is a tool in the Databases category of a tech stack.
InfluxDB is an open source tool with 17.9K GitHub stars and 2.5K GitHub forks. Here’s a link to InfluxDB's open source repository on GitHub

Who uses InfluxDB?

178 companies reportedly use InfluxDB in their tech stacks, including trivago, Excursiopedia, and Home61.

293 developers on StackShare have stated that they use InfluxDB.

InfluxDB Integrations

Sensu, Grafana, Tyk Cloud, Redash, and Traefik are some of the popular tools that integrate with InfluxDB. Here's a list of all 11 tools that integrate with InfluxDB.

Why developers like InfluxDB?

Here’s a list of reasons why companies and developers use InfluxDB
InfluxDB Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose InfluxDB in their tech stack.

John Houlder
John Houlder
at StreamJar · | 1 upvotes · 7.3K views

We use InfluxDB as a store for our data that gets fed into Grafana. It's ideal for this as it's a lightweight storage engine that can be modified on the fly by scripts without having to log into the server itself and manage tables. The HTTP API also makes it ideal for integrating with frontend services. InfluxDB

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InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes. InfluxDB

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Tim Joseph Dumol
Tim Joseph Dumol
Lead Software Architect at Kalibrr · | 1 upvotes · 7.3K views

Server and application metrics are all stored in InfluxDB for capacity planning and anomaly detection. InfluxDB

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Erwin Saputra
Erwin Saputra
Senior Software Engineer at Appsindo Technology · | 1 upvotes · 7.3K views

To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable InfluxDB

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Arnaud Lemercier
Arnaud Lemercier
Expert En Dveloppement Web Et Systmes Dinformations, Designer UX, UI, Co-grant at Wixiweb · | 1 upvotes · 7.2K views

We use InfluxDB because we need to store time series data for scan history. It's very simple to use and it's perfect to store value on event (on datetime).

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InfluxDB's Features

  • Time-Centric Functions
  • Scalable Metrics
  • Events
  • Native HTTP API
  • Powerful Query Language
  • Built-in Explorer

InfluxDB Alternatives & Comparisons

What are some alternatives to InfluxDB?
TimescaleDB: An open-source database built for analyzing time-series data with the power and convenience of SQL — on premise, at the edge, or in the cloud.
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
See all alternatives

InfluxDB's Followers
324 developers follow InfluxDB to keep up with related blogs and decisions.
Claude Sammut
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