Marqo chooses Vespa

Marqo, a vector database, has selected Vespa as its preferred platform after extensive benchmarking against other open-source and proprietary databases like Milvus, OpenSearch, Weaviate, Redis, and Qdrant. Vespa was chosen due to its superior performance, with internal tests showing it significantly reduced latency and increased throughput compared to Marqo's previous version backed by OpenSearch. The discussion highlights common oversights in benchmarking vector databases, particularly the need to evaluate performance on large datasets and under conditions of concurrent indexing and search, as well as space complexity and high availability. Vespa's capabilities make it a strong contender for high-throughput production vector search applications, outperforming alternatives like Elasticsearch in several key areas.

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