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InfluxDB
TLDR: InfluxDB, introduced in 2013, is a time-series database optimized for high-performance ingestion and analysis of time-stamped data. It supports a variety of data types such as integers, floats, strings, and booleans, enabling use cases in monitoring, IoT telemetry, and real-time data analytics. With its native query language, InfluxQL, which has SQL-like syntax, and support for the Flux scripting language, InfluxDB allows developers to perform advanced transformations and aggregations on time-series data.
InfluxDB integrates seamlessly with hybrid and cloud database infrastructures, offering features such as clustering, horizontal scalability, and built-in retention policies for efficient data management. It supports popular programming terms like Python, Java, and C Sharp, ensuring ease of integration into modern applications. Widely adopted across industries like finance, manufacturing, and energy, InfluxDB is essential for organizations needing reliable and scalable solutions for time-series data analytics in edge, on-premises, and cloud environments.
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