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Topics · Data Warehousing

Top companies for Data Warehousing

Ranked by AI mention frequency in Data Warehousing prompts · 296 observations · last seen Oct 21, 2026

Share of voice · top 10

Mention share across all brand mentions in this topic · remaining brands hold 63.1%

Leader

Snowflake

8.5%

  1. 1Snowflake8.5% · 183
  2. 2Bigquery6.6% · 141
  3. 3Redshift5.0% · 107
  4. 4Power Bi2.7% · 58
  5. 5Looker2.6% · 56
  6. 6Databricks Sql2.6% · 55
  7. 7Amazon Redshift2.4% · 51
  8. 8Databricks2.3% · 49
  9. 9dbt2.2% · 48
  10. 10AWS2.1% · 46

Full ranking

  1. 1.Snowflake8.5% SoV · 183 mentions · 173 prompts · Oct 21, 2026
  2. 2.Bigquery6.6% SoV · 141 mentions · 135 prompts · Oct 20, 2026
  3. 3.Redshift5.0% SoV · 107 mentions · 103 prompts · Oct 20, 2026
  4. 4.Power Bi2.7% SoV · 58 mentions · 56 prompts · Oct 15, 2026
  5. 5.Looker2.6% SoV · 56 mentions · 54 prompts · Oct 20, 2026
  6. 6.Databricks Sql2.6% SoV · 55 mentions · 55 prompts · Oct 21, 2026
  7. 7.Amazon Redshift2.4% SoV · 51 mentions · 49 prompts · Oct 21, 2026
  8. 8.Databricks2.3% SoV · 49 mentions · 48 prompts · Oct 19, 2026
  9. 9.dbt2.2% SoV · 48 mentions · 48 prompts · Oct 15, 2026
  10. 10.AWS2.1% SoV · 46 mentions · 46 prompts · Oct 20, 2026
  11. 11.Tableau2.1% SoV · 45 mentions · 44 prompts · Oct 10, 2026
  12. 12.Clickhouse1.8% SoV · 39 mentions · 37 prompts · Oct 16, 2026
  13. 13.Google Bigquery1.8% SoV · 39 mentions · 38 prompts · Oct 21, 2026
  14. 14.Azure Synapse1.6% SoV · 35 mentions · 33 prompts · Oct 15, 2026
  15. 15.Fivetran1.6% SoV · 35 mentions · 35 prompts · Oct 19, 2026
  16. 16.Google Cloud1.5% SoV · 33 mentions · 33 prompts · Oct 20, 2026
  17. 17.Airbyte1.4% SoV · 30 mentions · 30 prompts · Oct 19, 2026
  18. 18.Gcp1.1% SoV · 23 mentions · 23 prompts · Oct 8, 2026
  19. 19.Postgres0.93% SoV · 20 mentions · 20 prompts · Oct 8, 2026
  20. 20.Airflow0.88% SoV · 19 mentions · 19 prompts · Oct 8, 2026
  21. 21.Microsoft Fabric0.84% SoV · 18 mentions · 18 prompts · Oct 15, 2026
  22. 22.PostgreSQL0.79% SoV · 17 mentions · 17 prompts · Oct 10, 2026
  23. 23.S30.70% SoV · 15 mentions · 15 prompts · Oct 8, 2026
  24. 24.Stitch0.70% SoV · 15 mentions · 15 prompts · Oct 8, 2026
  25. 25.Azure0.65% SoV · 14 mentions · 14 prompts · Oct 8, 2026
  26. 26.Azure Synapse Analytics0.65% SoV · 14 mentions · 14 prompts · Oct 8, 2026
  27. 27.Delta Lake0.65% SoV · 14 mentions · 14 prompts · Oct 16, 2026
  28. 28.Dagster0.60% SoV · 13 mentions · 13 prompts · Oct 8, 2026
  29. 29.Fabric0.60% SoV · 13 mentions · 13 prompts · Oct 8, 2026
  30. 30.Prefect0.60% SoV · 13 mentions · 13 prompts · Oct 8, 2026
  31. 31.Salesforce0.60% SoV · 13 mentions · 13 prompts · Oct 8, 2026
  32. 32.Synapse0.60% SoV · 13 mentions · 13 prompts · Oct 8, 2026
  33. 33.Metabase0.56% SoV · 12 mentions · 12 prompts · Oct 10, 2026
  34. 34.Mysql0.56% SoV · 12 mentions · 12 prompts · Oct 8, 2026
  35. 35.Duckdb0.51% SoV · 11 mentions · 11 prompts · Oct 8, 2026
  36. 36.Kafka0.51% SoV · 11 mentions · 10 prompts · Oct 19, 2026
  37. 37.Pub Sub0.51% SoV · 11 mentions · 11 prompts · Oct 20, 2026
  38. 38.Starburst0.51% SoV · 11 mentions · 10 prompts · Oct 15, 2026
  39. 39.Druid0.47% SoV · 10 mentions · 10 prompts · Oct 8, 2026
  40. 40.Trino0.47% SoV · 10 mentions · 10 prompts · Oct 8, 2026
  41. 41.Matillion0.42% SoV · 9 mentions · 9 prompts · Oct 8, 2026
  42. 42.Superset0.42% SoV · 9 mentions · 9 prompts · Oct 8, 2026
  43. 43.Amazon Redshift Serverless0.37% SoV · 8 mentions · 8 prompts · Oct 8, 2026
  44. 44.Athena0.37% SoV · 8 mentions · 8 prompts · Oct 15, 2026
  45. 45.HubSpot0.37% SoV · 8 mentions · 8 prompts · Oct 8, 2026
  46. 46.Kinesis0.37% SoV · 8 mentions · 8 prompts · Oct 8, 2026
  47. 47.Mode0.37% SoV · 8 mentions · 8 prompts · Oct 8, 2026
  48. 48.NetSuite0.37% SoV · 8 mentions · 8 prompts · Oct 8, 2026
  49. 49.Oracle0.37% SoV · 8 mentions · 8 prompts · Oct 8, 2026
  50. 50.Redshift Serverless0.37% SoV · 8 mentions · 8 prompts · Oct 8, 2026

How did Obsurfable measure this?

Obsurfable records AI answers to buyer-style prompts in its research corpus (296 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?

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