/plushcap/analysis/datastax/datastax-astra-db-vs-pinecone-gigaom-performance-study

GigaOm: Astra DB smashes Pinecone in Four Key Vector Database Benchmarks

What's this blog post about?

A recent study by analyst firm GigaOm compared the performance of DataStax Astra DB vector search to Pinecone, a widely used vector database. The results showed that Astra DB performed significantly better than Pinecone in terms of throughput, latency, F1 relevancy, and total cost of ownership (TCO). These metrics are crucial for enabling accurate generative AI and retrieval augmented generation (RAG) applications in production. Throughput testing revealed that Astra DB indexes data up to 6x faster than Pinecone, while latency tests showed that during active indexing, Astra DB delivered up to 6x faster query responses versus Pinecone. F1 relevancy was also higher for Astra DB compared to Pinecone, with recall ranging from 90% to 94% during active indexing. Finally, GigaOm found that Astra DB had up to an 80% lower total cost of ownership compared to Pinecone over a three-year period.

Company
DataStax

Date published
Dec. 15, 2023

Author(s)
Joshua Norrid

Word count
1191

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.