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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
The use of https://thenewstack.io/use-time-series-database/ has been prevalent in various industries for decades, particularly in finance and process-control systems. Additionally, as IT infrastructure continues to expand, monitoring data from various sources such as servers, network devices, and https://thenewstack.io/microservices-101/ generates massive amounts of time series data, further highlighting the need for modern TSDBs.
Time series databases are designed to handle large volumes of incoming data points that arrive at a high frequency.
Here are five popular open source TSDBs: Prometheus https://github.com/prometheus/prometheus is an open source monitoring system with a time series database for storing and querying metrics data.
It is designed to handle large volumes of time series data with low latency and high throughput, making it well-suited for use cases such as financial market data, application metrics, sensor data, real-time analytics, dashboards, and infrastructure monitoring.
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