Blockchain technology relies on consensus mechanisms to maintain data integrity, transparency, and fault tolerance in decentralized systems. Traditional mechanisms such as Proof of Work (PoW), Proof of Stake (PoS), and Byzantine Fault Tolerance (BFT) have been widely deployed, but each faces limitation related to energy efficiency, latency, scalability, and fault resilience. The Adaptive Hybrid Consensus (AHC) mechanism has emerged as an advanced approach that integrates the strengths of multiple mechanisms to achieve optimal performance under varying network conditions. This research investigates the performance of AHC compared to PoW, PoS, and BFT through experimental simulation. Primary data were collected from transactions fed into a hybrid blockchain simulator, while secondary data were drawn from benchmark studies. Six performance metrics: consensus time, throughput, latency, fault tolerance, error rate, and system availability were measured and analyzed. Results show that AHC achieved a consensus time between 400–700 ms, throughput of 1,200 TPS, latency of 450 ms, fault tolerance up to 33%, and system availability of 97%, outperforming traditional mechanisms across all parameters. The findings demonstrate that adaptive hybrid consensus significantly enhances blockchain performance, providing a reliable foundation for scalable and fault-tolerant in distributed systems.