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

Qdrant has outperformed Elastic's DiskBBQ in a benchmark that demonstrated Qdrant's ability to deliver roughly twice the throughput and half the latency using only a third of the compute resources compared to DiskBBQ. The benchmark highlighted discrepancies in Elastic's testing methodology, which did not utilize Qdrant's two-stage retrieval and async disk scoring features, leading to an I/O bottleneck. Qdrant employed TurboQuant 4-bit quantization on smaller instances than Elastic, achieving superior performance on the same dataset. The Qdrant engine, available both on open-source and Qdrant Cloud, was tested on AWS m6g instances and outperformed Elastic's setup, which used GCP n4-standard-8 nodes. Elastic's DiskBBQ, positioned as a memory-efficient alternative, requires substantial RAM to maintain JVM stability, while Qdrant's approach leverages advanced quantization and disk scoring to maintain high efficiency even on smaller hardware configurations.

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