Benchmarking Epsilla With Some Of The Top Vector Databases

Epsilla is a high-performance open-source vector database that employs a novel parallel graph traversal technology to achieve lower query latency compared to traditional HNSW index-based systems. In a benchmark study using the gist-960-euclidean dataset, Epsilla was tested against top vector databases such as Qdrant, Weaviate, and Milvus, utilizing different setups and precision targets. The results demonstrated that Epsilla outperformed these competitors by up to 10 times in query latency and up to 5 times in query throughput within a 95% to 99% precision range. Despite striving for objectivity, the study acknowledges potential biases due to differences in parameter optimizations across databases. Exclusions included Pinecone, due to its SaaS-only offering, and non-native vector databases, as past benchmarks have shown native databases to be significantly superior. Epsilla intends to expand its testing with more datasets and optimizations, planning to open-source its benchmark code for community feedback and improvements.

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