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GigaOm Study: Astra DB Smashes Pinecone in GenAI Performance

Astra DB significantly outperforms in throughput, latency, F1 relevance, and TCO (total cost-of-ownership)
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GigaOm Study: Astra DB Smashes Pinecone in GenAI Performance

This GigaOm report benchmarks Astra DB vector performance and TCO using several commonly-used vector benchmarking datasets that simulate production conditions. GigaOm then compares Astra DB performance to Pinecone, a widely used vector database.

The study finds that Astra DB had better performance than Pinecone, up to:

  • 9x higher throughput than Pinecone when ingesting and indexing data
  • 74x faster P99 query response time when ingesting and indexing data
  • 20% higher F1 relevancy
  • 80% lower total cost of ownership over a three-year period in three scenarios

Vector databases must deliver on four key metrics to successfully enable accurate generative AI and RAG (retrieval augmented generation) applications in production: throughput, latency, F1 relevancy, and total cost of ownership (TCO).