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TimescaleDB achieves up to 98% compression for time-series data using its hypercore hybrid row-columnar engine. The engine applies specialized algorithms like delta encoding, delta-of-delta, Gorilla XOR, and run-length encoding. This differs from PostgreSQL's TOAST, which handles individual large values rather than cross-row time-series patterns.
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