Time-Series Compression: Storing More with Less
Source: tigerdata.comintermediate
Time-series compression stores data more efficiently by saving the *difference* between consecutive points, not the full values. It's key for managing terabyte-scale monitoring and IoT data, often saving over 90% on storage.
Time-series compression works by storing the *difference* between consecutive data points, not the full values. Algorithms like Delta-delta encoding exploit the pattern that metrics like CPU usage rarely change dramatically between measurements. This is essential for managing terabyte-scale monitoring, IoT, and financial data, often saving over 90% on storage costs and speeding up queries.
Read the original → tigerdata.com
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