QuestDB
Database designed to process time series data
QuestDB is an open-source, relational database management system (RDBMS) designed for time series data. It is a high-performance database that is optimized for handling large volumes of time-stamped data, and is suitable for a wide range of applications such as IoT, financial trading, and cybersecurity. One of the key features of QuestDB is its ability to execute complex SQL queries in real-time on large datasets. It is built with a column-oriented storage engine, which means that it can efficiently store and retrieve data for queries that involve filtering or aggregating large amounts of time series data. Additionally, it is optimized for handling distributed queries and can be used to run queries across multiple nodes. QuestDB is a relatively lightweight database, which makes it easy to deploy and manage. It can be run as a standalone process or as a library, and provides a simple and intuitive API for developers to use. It is also compatible with a wide range of programming languages, including Java, Python, and Go. In addition to its core database functionality, QuestDB provides a range of features and tools for data visualization, analytics, and monitoring. It includes a built-in web-based console for data visualization and exploration, and integrates with popular tools such as Grafana for visualization and alerting. Overall, QuestDB is a powerful and flexible database system that is well-suited for handling large volumes of time series data. Its open-source nature and community-driven development make it a popular choice for organizations looking for a scalable and reliable solution for handling time series data.