Acme
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A general-purpose analytical engine with built-in vector processing capabilities, excelling at traditional analytical workloads and efficient handling of vector operations. It is an example of a vector engine.
A unified system designed for efficient multi-index vector search, directly addressing large-scale vector database performance and scalability challenges.
ANN-Benchmarks is a benchmarking platform specifically for evaluating the performance of approximate nearest neighbor (ANN) search algorithms, which are foundational to vector database evaluation and comparison.
A benchmarking resource for evaluating approximate nearest neighbor search (ANNS) methods on billion-scale datasets, highly relevant for assessing the scalability of vector databases.
Milvus Sizing Tool helps users estimate the hardware and resource requirements needed to deploy Milvus based on their anticipated data scale and workload.
Benchmark results and tools by MyScale aimed at measuring the performance of vector databases in various search and retrieval tasks.
A set of benchmarks provided by Qdrant for evaluating vector databases, focusing on speed, scalability, and accuracy of vector search operations.
VectorDBBench is a benchmarking tool developed by ZillizTech for evaluating the performance of various vector databases, aiding users in selecting suitable vector database solutions for their needs.