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.

Products Perplexity named for vector databases, by share of 15 answers
#ProductShare of answers
1
100%
15 of 15 answers
2
Weaviateweaviate.io
100%
15 of 15 answers
3
Pineconepinecone.io
80%
12 of 15 answers
4
Milvusmilvus.io
80%
12 of 15 answers
5
60%
9 of 15 answers
6
47%
7 of 15 answers
7
OpenSearchopensearch.org
40%
6 of 15 answers
8
Supabasesupabase.com
27%
4 of 15 answers
9
Elasticsearchelastic.co
20%
3 of 15 answers
9
MongoDB Atlasmongodb.com
20%
3 of 15 answers
11
Annoygithub.com
20%
3 of 15 answers
12
13%
2 of 15 answers
13
Cloudflare Vectorizedevelopers.cloudflare.com
7%
1 of 15 answers
13
Amazon Aurora PostgreSQL with pgvectoraws.amazon.com
7%
1 of 15 answers

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

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