InfluxDB
Database designed to process time series data
InfluxDB is an open-source, distributed time series database designed to handle high volumes of time-stamped data. It is a popular choice for monitoring and analyzing machine data and IoT sensor data, and is used by many organizations to power their monitoring, analytics, and alerting systems. One of the key features of InfluxDB is its fast and efficient data storage and retrieval capabilities. It is optimized for handling large volumes of time-stamped data and can store data in a compressed format to reduce storage requirements. InfluxDB also provides a SQL-like query language called InfluxQL, which makes it easy to extract and analyze time series data. InfluxDB is a scalable and distributed database, which means that it can be used to store and query data across multiple servers and nodes. It also provides high availability and automatic data replication, ensuring that data is always available even in the event of a node failure. In addition to the core database functionality, InfluxDB also provides a range of tools and integrations for data visualization, alerting, and monitoring. It integrates with popular monitoring and visualization tools such as Grafana, and provides its own built-in visualization and alerting features. Overall, InfluxDB is a powerful and flexible time series database that is well-suited for handling large volumes of time-stamped data. Its open-source nature and community-driven development make it a popular choice for organizations looking for a scalable and reliable solution for monitoring and analyzing machine data and IoT sensor data.