Cube uses InfluxDB's time series database.

InfluxDB for developers and organisations.

InfluxDB offers numerous advantages for developers and organistions alike. First, it is optimised for storing and querying time series data, ensuring high performance and efficiency. This makes it possible to input large amounts of data and perform real-time analysis without degrading performance. In addition, InfluxDB is scalable, meaning it can easily handle growing amounts of data. This is crucial for applications dealing with exponential data growth. Built-in retention policy capabilities (a rule that determines how long data is kept in the database) and downsampling (summarising data points to keep less data) ensure that the database remains manageable and performance optimal.

Various applications of InfluxDB.

InfluxDB is widely used in different industries and for various applications. In IT and network monitoring, it is used to track and analyse the performance of systems and networks in real-time. For IoT applications, InfluxDB provides an efficient way to store and process sensor and device data. In finance, it helps analyse market data and transactions, while in healthcare it is used to monitor patient data and medical devices.

Why choose Cube?

At Cube, we use InfluxDB to develop strong and scalable solutions tailored to our customers' specific needs. Whether monitoring industrial processes, managing smart city applications, or analysing user behaviour in real-time, InfluxDB provides the tools and flexibility to gain valuable insights and optimise performance.

Our expertise enables us to provide customised solutions that not only meet functional requirements, but are also scalable and future-proof. By integrating InfluxDB into your projects, we can ensure fast data entry, efficient storage and real-time analytics.