Seismocardiogram (SCG) provides essential information on cardiovascular health. MEMS accelerometers have become the standard for detecting SCG (SCGACC). However, PVDF films have been proposed to detect the SCG (SCGPVDF) as a surrogate. Although both sensors have different transduction principles, several studies have shown that they can detect the main waves of the SCG using the wearable paradigm. However, we have not found an analysis in the literature comparing both SCGs in the time and frequency domains during rest and activity conditions. In this work, the correlation index, the mean square error (MSE), and the coherence were estimated to compare the wearable SCGACC and SCGPVDF. A triaxial accelerometer and a shielded PVDF film were used for this. Tests were performed on ten healthy subjects under three conditions: resting before physical activity, after physical activity (squads), and resting after physical activity. The second derivative of the SCGPVDF was estimated before the analyses to express both SCGs in terms of accelerations. A correlation index lower than 0.744 and an MSE higher than 0.051 were obtained during activity conditions. This correlation decreased, and the MSE increased in resting conditions, indicating that neither sensor detected all the SCG waves equally. Regarding coherence, a value greater than 0.6 was obtained in the range of 10 Hz to 30 Hz, the range where the main components of the SCG are found.