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Topics · Vector Databases

Top companies for Vector Databases

Ranked by AI mention frequency in Vector Databases prompts · 298 observations · last seen Oct 22, 2026

Share of voice · top 10

Mention share across all brand mentions in this topic · remaining brands hold 30.9%

Leader

Pinecone

10.3%

  1. 1Pinecone10.3% · 171
  2. 2Weaviate10.0% · 165
  3. 3Qdrant9.1% · 151
  4. 4Milvus9.0% · 150
  5. 5Pgvector8.3% · 137
  6. 6Elasticsearch5.8% · 96
  7. 7Opensearch5.4% · 90
  8. 8Postgres4.9% · 81
  9. 9Faiss3.6% · 60
  10. 10PostgreSQL2.7% · 45

Full ranking

  1. 1.Pinecone10.3% SoV · 171 mentions · 164 prompts · Oct 22, 2026
  2. 2.Weaviate10.0% SoV · 165 mentions · 159 prompts · Oct 22, 2026
  3. 3.Qdrant9.1% SoV · 151 mentions · 148 prompts · Oct 22, 2026
  4. 4.Milvus9.0% SoV · 150 mentions · 144 prompts · Oct 20, 2026
  5. 5.Pgvector8.3% SoV · 137 mentions · 135 prompts · Oct 20, 2026
  6. 6.Elasticsearch5.8% SoV · 96 mentions · 93 prompts · Oct 22, 2026
  7. 7.Opensearch5.4% SoV · 90 mentions · 87 prompts · Oct 22, 2026
  8. 8.Postgres4.9% SoV · 81 mentions · 78 prompts · Oct 18, 2026
  9. 9.Faiss3.6% SoV · 60 mentions · 58 prompts · Oct 20, 2026
  10. 10.PostgreSQL2.7% SoV · 45 mentions · 44 prompts · Oct 15, 2026
  11. 11.Chroma1.2% SoV · 20 mentions · 20 prompts · Oct 7, 2026
  12. 12.OpenAI1.0% SoV · 17 mentions · 16 prompts · Oct 20, 2026
  13. 13.Qdrant Cloud0.78% SoV · 13 mentions · 13 prompts · Oct 18, 2026
  14. 14.Weaviate Cloud0.78% SoV · 13 mentions · 13 prompts · Oct 7, 2026
  15. 15.Vespa0.66% SoV · 11 mentions · 10 prompts · Oct 14, 2026
  16. 16.Redis0.60% SoV · 10 mentions · 10 prompts · Oct 7, 2026
  17. 17.Elastic0.54% SoV · 9 mentions · 9 prompts · Oct 7, 2026
  18. 18.MongoDB0.54% SoV · 9 mentions · 9 prompts · Oct 7, 2026
  19. 19.Scann0.48% SoV · 8 mentions · 8 prompts · Oct 7, 2026
  20. 20.Clip0.42% SoV · 7 mentions · 7 prompts · Oct 10, 2026
  21. 21.Cohere0.42% SoV · 7 mentions · 7 prompts · Oct 7, 2026
  22. 22.Mongodb Atlas Vector Search0.42% SoV · 7 mentions · 7 prompts · Oct 7, 2026
  23. 23.Sqlite0.42% SoV · 7 mentions · 6 prompts · Oct 7, 2026
  24. 24.Annoy0.36% SoV · 6 mentions · 6 prompts · Oct 7, 2026
  25. 25.Diskann0.36% SoV · 6 mentions · 6 prompts · Oct 7, 2026
  26. 26.Dynamodb0.36% SoV · 6 mentions · 6 prompts · Jul 20, 2026
  27. 27.Hnswlib0.36% SoV · 6 mentions · 6 prompts · Oct 7, 2026
  28. 28.Sentence Transformers0.36% SoV · 6 mentions · 6 prompts · Oct 7, 2026
  29. 29.Zilliz Cloud0.36% SoV · 6 mentions · 6 prompts · Oct 7, 2026
  30. 30.Azure Ai Search0.30% SoV · 5 mentions · 5 prompts · Oct 7, 2026
  31. 31.Voyage0.30% SoV · 5 mentions · 5 prompts · Oct 7, 2026
  32. 32.Clickhouse0.24% SoV · 4 mentions · 3 prompts · Oct 16, 2026
  33. 33.Duckdb0.24% SoV · 4 mentions · 2 prompts · Oct 16, 2026
  34. 34.Fastapi0.24% SoV · 4 mentions · 4 prompts · Oct 7, 2026
  35. 35.Langchain0.24% SoV · 4 mentions · 3 prompts · Oct 20, 2026
  36. 36.Llamaindex0.24% SoV · 4 mentions · 3 prompts · Oct 20, 2026
  37. 37.Snowflake0.24% SoV · 4 mentions · 4 prompts · Oct 7, 2026
  38. 38.Supabase0.24% SoV · 4 mentions · 4 prompts · Oct 7, 2026
  39. 39.Apache Doris0.18% SoV · 3 mentions · 2 prompts · Oct 16, 2026
  40. 40.Apache Druid0.18% SoV · 3 mentions · 2 prompts · Oct 16, 2026
  41. 41.Azure Blob0.18% SoV · 3 mentions · 3 prompts · Oct 7, 2026
  42. 42.Gcs0.18% SoV · 3 mentions · 3 prompts · Oct 7, 2026
  43. 43.Kafka0.18% SoV · 3 mentions · 3 prompts · Oct 7, 2026
  44. 44.Meilisearch0.18% SoV · 3 mentions · 2 prompts · Oct 14, 2026
  45. 45.Python0.18% SoV · 3 mentions · 3 prompts · Oct 7, 2026
  46. 46.Resnet0.18% SoV · 3 mentions · 3 prompts · Oct 7, 2026
  47. 47.Rocksdb0.18% SoV · 3 mentions · 2 prompts · Oct 6, 2026
  48. 48.S30.18% SoV · 3 mentions · 3 prompts · Oct 7, 2026
  49. 49.Siglip0.18% SoV · 3 mentions · 3 prompts · Oct 10, 2026
  50. 50.Soc 20.18% SoV · 3 mentions · 2 prompts · Sep 24, 2026

How did Obsurfable measure this?

Obsurfable records AI answers to buyer-style prompts in its research corpus (298 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.