dbt vs Snowflake: Market Share & Payment Activity (October 2026)
Updated · Latest data October 2026
As of October 2026, dbt ranks #141 and Snowflake #149 by recorded payment activity. Their recorded transaction shares are 0.09% and 0.09%, respectively. Over the last 12 months, dbt dropped 38 positions and Snowflake dropped 3 positions, based on aggregated, anonymized software purchasing data. Activity share is the percentage of trailing 12-month purchase and renewal transactions across all tracked software, not distinct customers.
View the chart data
| Month | dbt | Snowflake |
|---|---|---|
| Jan-2022 | 0.2% | 0.1% |
| Feb-2022 | 0.2% | 0.1% |
| Mar-2022 | 0.2% | 0.1% |
| Apr-2022 | 0.2% | 0.1% |
| May-2022 | 0.2% | 0.1% |
| Jun-2022 | 0.2% | 0.1% |
| Jul-2022 | 0.2% | 0.1% |
| Aug-2022 | 0.2% | 0.1% |
| Sep-2022 | 0.2% | 0.1% |
| Oct-2022 | 0.2% | 0.1% |
| Nov-2022 | 0.2% | 0.1% |
| Dec-2022 | 0.2% | 0.1% |
| Jan-2023 | 0.2% | 0.1% |
| Feb-2023 | 0.2% | 0.1% |
| Mar-2023 | 0.2% | 0.1% |
| Apr-2023 | 0.2% | 0.1% |
| May-2023 | 0.2% | 0.1% |
| Jun-2023 | 0.2% | 0.1% |
| Jul-2023 | 0.2% | 0.1% |
| Aug-2023 | 0.2% | 0.1% |
| Sep-2023 | 0.2% | 0.1% |
| Oct-2023 | 0.2% | 0.1% |
| Nov-2023 | 0.2% | 0.1% |
| Dec-2023 | 0.2% | 0.1% |
| Jan-2024 | 0.2% | 0.1% |
| Feb-2024 | 0.2% | 0.1% |
| Mar-2024 | 0.2% | 0.1% |
| Apr-2024 | 0.2% | 0.1% |
| May-2024 | 0.2% | 0.1% |
| Jun-2024 | 0.2% | 0.1% |
| Jul-2024 | 0.2% | 0.1% |
| Aug-2024 | 0.2% | 0.1% |
| Sep-2024 | 0.2% | 0.1% |
| Oct-2024 | 0.2% | 0.1% |
| Nov-2024 | 0.2% | 0.1% |
| Dec-2024 | 0.2% | 0.1% |
| Jan-2025 | 0.2% | 0.1% |
| Feb-2025 | 0.2% | 0.1% |
| Mar-2025 | 0.2% | 0.1% |
| Apr-2025 | 0.2% | 0.1% |
| May-2025 | 0.2% | 0.1% |
| Jun-2025 | 0.2% | 0.1% |
| Jul-2025 | 0.2% | 0.1% |
| Aug-2025 | 0.1% | 0.1% |
| Sep-2025 | 0.1% | 0.1% |
| Oct-2025 | 0.1% | 0.1% |
| Nov-2025 | 0.1% | 0.1% |
| Dec-2025 | 0.1% | 0.1% |
| Jan-2026 | 0.1% | 0.1% |
| Feb-2026 | 0.1% | 0.1% |
| Mar-2026 | 0.1% | 0.1% |
| Apr-2026 | 0.1% | 0.1% |
| May-2026 | 0.1% | 0.1% |
| Jun-2026 | 0.1% | 0.1% |
| Jul-2026 | 0.1% | 0.1% |
| Aug-2026 | 0.1% | 0.1% |
| Sep-2026 | 0.1% | 0.1% |
| Oct-2026 | 0.1% | 0.1% |
Spend rank vs payment-activity rank
Which stack does each tool live in?
dbt
Snowflake
What the published signals show for dbt vs Snowflake
“dbt ranks #141 by payment activity as of October 2026, ahead of Snowflake at #149. Snowflake is closing the gap: it dropped 3 positions, while dbt dropped 38 positions. By spend, Snowflake ranks higher (#102 versus #247), showing its position in observed software spend. The data does not establish that one product is a direct replacement for the other in every company. The practical takeaway is to separate market position from product fit: the rankings show relative payment activity and observed spend position, but they do not measure features, price, or quality. Use those signals to build a shortlist, then decide against your own workflows and requirements.”
dbt vs Snowflake: frequently asked questions
Which is more popular, dbt or Snowflake?
dbt ranks #141, ahead of Snowflake at #149 as of October 2026. This measures observed trailing-year software purchase and renewal transactions, not distinct customers, product usage or quality.
How have dbt and Snowflake changed activity rank?
Snowflake has dropped 3 rank positions in the last 12 months, while dbt dropped 38 positions. This is a change in relative payment-activity rank; it does not prove that companies are leaving one product for the other.
Do companies switch between dbt and Snowflake?
This page does not have enough direct switching evidence to make that claim. Payment-activity rank movement alone does not prove that one product replaced the other.
Which is bigger by spend, dbt or Snowflake?
Snowflake ranks higher by measured spend: dbt is #247 and Snowflake #102. Spend rank records relative software spend; it does not explain price per company, pricing terms or value.
Is dbt better than Snowflake for data platform use cases?
This data cannot determine which product is better. It measures payment activity, spend position, momentum, and—in some cases—overlap. Use those signals to understand market position, then compare the products against your own workflows, requirements, and budget.