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InfluxDB

Time series database

InfluxDB is an open source database specifically for time series data. Collect metrics and events from sources such as IoT devices, applications or infrastructure and efficiently query large amounts of data in real time.

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From the idea to the running InfluxDB stack

You don’t have to build InfluxDB alone. We accompany you step by step – and stay by your side afterwards.

Step 1

Analysis & concept

We check your data sources, systems and requirements and plan together which time series data is sensibly recorded and stored. This results in a lean database concept that is not unnecessarily complex and can be easily operated later on.
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Step 2

Structure & integration

We set up InfluxDB, data sources, exporters, flux queries and suitable integrations to suit your needs. A clean schema and tag design ensures that evaluations remain clear and operations can be controlled efficiently.
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Step 3

Commissioning & storage

Your InfluxDB setup goes live, data flows in in real time and is stored reliably. This gives you transparency about the availability, performance and status of your systems - instead of just collecting data that nobody analyzes.
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Step 4

Support & Operation

On request, we can take over the ongoing operation completely or support your team with support and training - so that your InfluxDB stack remains stable, up-to-date and practical.

InfluxDB Features

Time series under control

The right database for everything that changes over time: InfluxDB efficiently stores metrics and events from servers, IoT and applications – and makes them queryable in real time.

Powerful queries

You use the SQL-like language InfluxQL to carry out aggregations, calculations and time window analyses. This allows you to recognize trends and monitor anomalies in real time.

Integration & scalability

InfluxDB integrates seamlessly into your ecosystem – with Grafana, Telegraf, Prometheus or Icinga. And it scales from small environments to large data volumes.

Resource-saving & fast

Without the complex schema management of relational databases, InfluxDB focuses entirely on metrics and events – making processing faster and more economical.

Own dashboards

You can build dashboards with line and gauge charts directly in InfluxDB Web, define time periods and activate automatic updates – a quick overview without an additional tool.

Own dashboards

Versatile in use
Whether IoT, DevOps monitoring, application performance or business intelligence: you can integrate InfluxDB into almost any infrastructure via REST APIs and client libraries.

InfluxDB web interface

The screenshot shows an overview of the InfluxDB web interface, in which the various components and functions of the dashboard are clearly explained.

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Quickly create your own dashboards and views directly in InfluxDB Web.

Visualize your metrics with a classic line chart.

The gauge diagram can be used to compare the current value of metrics with a minimum and maximum value.

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Configure the current time periods in which data should be displayed with just a few clicks and activate an automatic update after defined intervals.

Configure new dashboards, create queries with your data or configure some basic settings in InfluxDB.

Shaping IT together

We help you to strategically plan, technically implement and sustainably operate modern IT and monitoring solutions. We combine consulting, implementation and support to create a tailor-made service that is geared to your requirements. Our aim is to make complex systems transparent, stable and efficient to use.

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Know-how

More know-how about InfluxDB

Automation instead of copy & paste

Ansible basics

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Last updated: 28.05.2026 Imagine you have to install the same packages, start services and adjust configurations on 10 servers. Manually via SSH, with copy-paste commands…

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Questions & Answers

The most frequently asked questions about InfluxDB

What is InfluxDB?

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InfluxDB is an open source database that is optimized for time series data such as metrics, events or sensor data. It was developed to efficiently store and process large amounts of timestamp data. With InfluxDB, data can be recorded and queried in real time.

What is InfluxDB mainly used for?

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InfluxDB is often used in areas such as IoT, DevOps monitoring, application performance monitoring and financial analysis. It enables the collection and analysis of time series data from various sources in order to identify trends or monitor anomalies. It is particularly suitable for applications that process large quantities of time stamp data.

How does the data query in InfluxDB work?

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InfluxDB uses InfluxQL, a SQL-like query language, to query data efficiently. Aggregations, mathematical operations and time window queries can be performed to gain deeper insights into the data. These queries are useful for creating dashboards or triggering notifications.

How does InfluxDB differ from conventional relational databases?

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Unlike relational databases, InfluxDB was developed specifically for time series data, making it more efficient to store and process large amounts of time-based data. InfluxDB dispenses with the complex schema management of relational databases and concentrates on optimizing metrics and event data. This makes it faster and more resource-efficient when processing time series data.

Can InfluxDB be operated in real time?

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Yes, InfluxDB was developed to collect, store and query data in real time. It can be used to continuously collect data from IoT devices, servers or other sources and instantly analyze or visualize it. This makes InfluxDB ideal for monitoring and alarm applications.

How can InfluxDB be integrated into existing systems?

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InfluxDB can be easily integrated with other tools such as Grafana for visualization and Telegraf for data collection. It also offers REST APIs and client libraries for various programming languages to insert or query data. Thanks to this flexibility, InfluxDB can be integrated into almost any infrastructure, such as Icinga.

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