Qdrant Beats Elastic’s DiskBBQ at 2x Throughput, Half the Latency, and 1/3 the Compute - Qdrant

This post details a benchmark comparing Qdrant's disk-based retrieval performance against Elastic's DiskBBQ. It demonstrates that Qdrant, using its two-stage retrieval process with TurboQuant 4-bit quantization and async disk scoring, achieves approximately 2x higher throughput and 50% lower latency than Elastic's DiskBBQ at the same recall target (0.96). Crucially, Qdrant achieves this on significantly less compute resources (2 vCPU / 8 GiB RAM per node) compared to Elastic (7 vCPU / 26 GiB RAM per node). The post highlights the efficiency gains from Qdrant's open-source nature, advanced quantization, and optimized disk I/O handling, contrasting it with Elastic's proprietary solution and higher resource requirements.