EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
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6 July 2026 | London, GB
EY named a Leader in ISG’s Snowflake Ecosystem Partners 2026 study
EY is recognized as a Leader in ISG’s Snowflake Ecosystem Partners 2026 quadrants for both Modernization and AI/ML Enablement Services and Managed Data and Optimization Services.
We are proud to be named a Leader in ISG’s evaluation: ISG Provider Lens 2026 Snowflake Ecosystem Partners (Global). In the report, ISG recognizes EY as a Leader in both Modernization and AI/ML Enablement Services and Managed Data and Optimization Services, highlighting EY’s ability to help enterprises modernize data platforms, operationalize AI and sustain Snowflake environments at scale.
ISG notes that EY supports enterprise data transformation by combining Snowflake engineering with AI and ML capabilities, including data modernization, ML integration and GenAI enablement using Snowpark and Cortex. The report also highlights EY’s use of accelerators and domain-aligned solutions to support migration and analytics use cases while integrating data engineering with AI deployment.
According to Gowtham Sampath of ISG, “EY’s Snowflake practice reflects a broad enterprise transformation agenda that extends across modernization, AI enablement and data commercialization. The combination of industry-led advisory expertise, Snowflake-native innovation and ecosystem partnerships enables clients to establish resilient data foundations while creating pathways for sustained optimization, innovation and business value generation.”
Sampath and Patel also note, “EY’s managed services model emphasizes operational stability through integrated DataOps, cost control and governance, with a clear focus on embedding automation into platform management to sustain performance at scale.” EY’s managed Snowflake services are anchored in Intelligent DataOps, FinOps practices, performance monitoring, data quality controls and governance frameworks that help improve platform stability, cost efficiency and compliance.
The report further describes Snowflake adoption as shifting from migration-led modernization toward governed, AI-ready data platforms, where differentiation depends on semantic architecture, governance rigor, workload optimization and the ability to operationalize AI safely across complex enterprise environments.
Source: ISG Provider Lens® Snowflake Ecosystem Partners, Gowtham Sampath, Hemangi Patel, July 2026