dbt Labs Named 2026 Snowflake Product Partner of the Year
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jun 02 2026
0mins
Source: Yahoo Finance
- Annual Partner Award: dbt Labs was recognized as the 2026 Data Integration Product Partner of the Year at the Snowflake Summit, highlighting its exceptional performance in the AI Data Cloud and further solidifying its strategic partnership with Snowflake.
- Customer Transformation Results: Over 75% of Snowflake customers utilize dbt, with tools like the dbt Semantic Layer and dbt Fusion engine significantly enhancing developer experience, enabling clients to rapidly execute complex AI use cases and drive business innovation.
- Market Transaction Growth: Transactions on the Snowflake Marketplace have grown approximately 30% year-over-year, with dbt Labs assisting customers in maximizing their Snowflake contract commitments to ensure optimal ROI, showcasing its strong capabilities in data governance and structuring.
- Success Case Showcase: The WHOOP team leveraged the dbt platform to ensure clean and governed data, successfully building an AI/ML financial forecasting model, which significantly saved time for analysts and data engineering teams, allowing them to focus on more strategic initiatives.
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Analyst Views on SNOW
Wall Street analysts forecast SNOW stock price to rise
33 Analyst Rating
30 Buy
3 Hold
0 Sell
Strong Buy
Current: 232.780
Low
237.00
Averages
278.19
High
312.00
Current: 232.780
Low
237.00
Averages
278.19
High
312.00
About SNOW
Snowflake Inc. is an artificial intelligence (AI) data cloud company. The Company provides a platform which powers the AI data cloud, enabling customers to consolidate data into a single source of truth to drive insights, apply AI to solve business problems, build data applications, and share data and data products. Its cloud-native architecture includes three independently scalable but logically integrated layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The cloud services layer enables users to securely use AI within applications, tools, and processes. Its platform supports a wide range of product categories for customers’ business objectives, including analytics, data engineering, AI, applications and collaboration.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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