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Topics · Data Pipelines

Top companies for Data Pipelines

Ranked by AI mention frequency in Data Pipelines prompts · 343 observations · last seen Oct 22, 2026

Share of voice · top 10

Mention share across all brand mentions in this topic · remaining brands hold 68.4%

Leader

Fivetran

4.8%

  1. 1Fivetran4.8% · 132
  2. 2dbt3.8% · 104
  3. 3Airbyte3.7% · 101
  4. 4Snowflake3.5% · 95
  5. 5Bigquery3.1% · 84
  6. 6Airflow3.0% · 82
  7. 7Dagster2.8% · 76
  8. 8Prefect2.7% · 74
  9. 9Matillion2.2% · 60
  10. 10Stitch2.1% · 56

Full ranking

  1. 1.Fivetran4.8% SoV · 132 mentions · 120 prompts · Oct 21, 2026
  2. 2.dbt3.8% SoV · 104 mentions · 98 prompts · Oct 22, 2026
  3. 3.Airbyte3.7% SoV · 101 mentions · 94 prompts · Oct 21, 2026
  4. 4.Snowflake3.5% SoV · 95 mentions · 87 prompts · Oct 22, 2026
  5. 5.Bigquery3.1% SoV · 84 mentions · 79 prompts · Oct 22, 2026
  6. 6.Airflow3.0% SoV · 82 mentions · 76 prompts · Oct 22, 2026
  7. 7.Dagster2.8% SoV · 76 mentions · 69 prompts · Oct 22, 2026
  8. 8.Prefect2.7% SoV · 74 mentions · 67 prompts · Oct 22, 2026
  9. 9.Matillion2.2% SoV · 60 mentions · 54 prompts · Oct 16, 2026
  10. 10.Stitch2.1% SoV · 56 mentions · 49 prompts · Oct 15, 2026
  11. 11.Redshift1.9% SoV · 52 mentions · 48 prompts · Oct 22, 2026
  12. 12.Databricks1.8% SoV · 48 mentions · 46 prompts · Oct 22, 2026
  13. 13.Kafka1.6% SoV · 43 mentions · 43 prompts · Oct 19, 2026
  14. 14.Salesforce1.1% SoV · 31 mentions · 30 prompts · Oct 16, 2026
  15. 15.Postgres1.1% SoV · 30 mentions · 29 prompts · Oct 22, 2026
  16. 16.Debezium1.0% SoV · 28 mentions · 27 prompts · Oct 21, 2026
  17. 17.Spark0.99% SoV · 27 mentions · 24 prompts · Oct 22, 2026
  18. 18.Airbyte Cloud0.92% SoV · 25 mentions · 23 prompts · Oct 21, 2026
  19. 19.Talend0.88% SoV · 24 mentions · 21 prompts · Oct 15, 2026
  20. 20.Informatica0.81% SoV · 22 mentions · 21 prompts · Oct 15, 2026
  21. 21.S30.81% SoV · 22 mentions · 22 prompts · Oct 19, 2026
  22. 22.Apache Airflow0.73% SoV · 20 mentions · 18 prompts · Oct 22, 2026
  23. 23.Meltano0.73% SoV · 20 mentions · 17 prompts · Oct 15, 2026
  24. 24.Aws Glue0.70% SoV · 19 mentions · 16 prompts · Oct 8, 2026
  25. 25.Azure Data Factory0.70% SoV · 19 mentions · 16 prompts · Oct 21, 2026
  26. 26.HubSpot0.70% SoV · 19 mentions · 18 prompts · Oct 16, 2026
  27. 27.Hevo0.62% SoV · 17 mentions · 15 prompts · Oct 16, 2026
  28. 28.Looker0.62% SoV · 17 mentions · 16 prompts · Oct 22, 2026
  29. 29.Make0.62% SoV · 17 mentions · 16 prompts · Oct 21, 2026
  30. 30.Rivery0.62% SoV · 17 mentions · 17 prompts · Oct 21, 2026
  31. 31.Zapier0.62% SoV · 17 mentions · 16 prompts · Oct 21, 2026
  32. 32.Power Bi0.59% SoV · 16 mentions · 15 prompts · Oct 22, 2026
  33. 33.Stripe0.59% SoV · 16 mentions · 15 prompts · Oct 16, 2026
  34. 34.Tableau0.59% SoV · 16 mentions · 15 prompts · Oct 22, 2026
  35. 35.Great Expectations0.55% SoV · 15 mentions · 14 prompts · Oct 17, 2026
  36. 36.Aws Dms0.51% SoV · 14 mentions · 14 prompts · Oct 21, 2026
  37. 37.Dataflow0.51% SoV · 14 mentions · 14 prompts · Oct 8, 2026
  38. 38.Dbt Cloud0.51% SoV · 14 mentions · 14 prompts · Oct 8, 2026
  39. 39.Hevo Data0.51% SoV · 14 mentions · 14 prompts · Oct 8, 2026
  40. 40.Pub Sub0.51% SoV · 14 mentions · 14 prompts · Oct 8, 2026
  41. 41.Workato0.51% SoV · 14 mentions · 13 prompts · Oct 21, 2026
  42. 42.Aws Step Functions0.48% SoV · 13 mentions · 12 prompts · Oct 16, 2026
  43. 43.Temporal0.48% SoV · 13 mentions · 12 prompts · Oct 22, 2026
  44. 44.Gcs0.44% SoV · 12 mentions · 12 prompts · Oct 8, 2026
  45. 45.Python0.44% SoV · 12 mentions · 12 prompts · Oct 8, 2026
  46. 46.Soda0.40% SoV · 11 mentions · 11 prompts · Oct 8, 2026
  47. 47.Argo Workflows0.37% SoV · 10 mentions · 9 prompts · Oct 21, 2026
  48. 48.Azure Blob0.37% SoV · 10 mentions · 10 prompts · Oct 8, 2026
  49. 49.Lambda0.37% SoV · 10 mentions · 10 prompts · Oct 8, 2026
  50. 50.Monte Carlo0.37% SoV · 10 mentions · 10 prompts · Oct 17, 2026

How did Obsurfable measure this?

Obsurfable records AI answers to buyer-style prompts in its research corpus (343 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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