Who Perplexity recommends for vector databases.
Updated 9 October 202615 Perplexity answers
We asked Perplexity 5 buyer prompts 3 times each on 9 October 2026, with live web search on, and counted every product its 15 usable answers named. This page is Perplexity alone; the full ranking compares every engine and quotes every answer.
Who Perplexity recommends.
What this does and does not show.
- Counted from Perplexity’s 15 usable answers of 15 planned.
- Products level on share of answers and average position share a rank: the measurement shows no difference between them.
- Counted as one product under reviewed spellings: “Zilliz Cloud” as Milvus; “MongoDB Atlas Vector Search” as MongoDB Atlas; “pgvector for PostgreSQL” as pgvector; “Pinecone Serverless” as Pinecone; “Qdrant Cloud” as Qdrant; “Supabase Vector” and “Supabase with pgvector” as Supabase; “Weaviate Cloud” as Weaviate.
- AI answers vary from run to run and with each person’s history and settings. This is what Perplexity answered on 9 October 2026, asked fresh each time, not what every user will see.
- One engine and one month. Another engine, or next month, can name different products.
Not affiliated with or endorsed by Perplexity.How it works · Every engine for vector databases · According to ChatGPT · According to Claude