InfluxDB
Process and analyze time series data
Time series database
With InfluxDB, we provide you with an open source database that has been specially developed for storing and querying time series data. You can use it to collect metrics and events from various sources, such as IoT devices, applications or infrastructure. InfluxDB allows you to efficiently store, analyze and query large amounts of time series data in real time.
InfluxDB Features
Time series data management
InfluxDB is specially optimized for the storage and management of time series data. You can use it to continuously collect data based on timestamps, such as metrics from servers, sensor data or financial transactions. This data is stored efficiently in the database so that you can query it for historical analyses or real-time monitoring.
Powerful query engine
InfluxDB offers you a flexible query language called InfluxQL, which is similar to SQL and allows you to execute complex queries on time series data. This allows you to apply aggregations, calculations and time window analyses to your data to identify trends and monitor anomalies in real time. These queries can be used to feed dashboards or trigger alert mechanisms.
Easy integration and scalability
InfluxDB can be seamlessly integrated into various ecosystems, including monitoring tools such as Grafana and data sources such as Telegraf or Prometheus. You can easily scale it to handle growing amounts of data and it is suitable for both small and large environments. This makes InfluxDB flexible for use cases such as IoT, DevOps monitoring or business intelligence.
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.
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.
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.
InfluxDB Consulting
We help you with the design, installation and integration of InfluxDB in your environment – for more power, know-how and peace of mind!
Power
We have been successfully supporting our customers in the operation of their IT infrastructures for many years. Whether it’s different industries, tools or operating systems – we’ve seen, operated and built it all. With extensive experience in best practices around Grafana, Prometheus, InfluxDB and other open source technologies, especially in the Linux environment, we are at your side with our know-how.
Know-how
We not only understand your IT systems and services, but also the big picture – the numerous aspects that make up the operation of complex IT infrastructures. In a world where IT is becoming increasingly complex and constantly changing, there is often a lack of time and personnel. This is exactly where we come in to provide you with optimum support.
Targeted reinforcement
As Linux generalists and open source experts, we are broadly positioned and deeply networked in the open source communities. With us by your side, you are never alone! Whether as an IT consultant, engineer, support or architect – we strengthen your team, relieve you and take over the work so that you can concentrate on the essentials.
Know-how
More know-how about InfluxDB
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Questions & Answers
The most frequently asked questions about InfluxDB
What is InfluxDB?
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?
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?
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?
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?
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?
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.