Streamline operations, build exceptional data products, and grow your business with Snowflake and Omni.


Meet our team at Snowflake Summit!
Swing by Booth 1301 to chat & catch a live demo!
AI for BI Without the BS
Wednesday, June 4 | 2:30 PM

Jamie Davidson
Co-founder and President, Omni

Peter Whitehead
Solutions Engineer, Omni
So, Are We Still Doing a Semantic Layer?
Thursday, June 5 | 10:30 AM

Colin Zima
Co-founder and CEO, Omni

Pedram Navid
Head of DevRel and Marketing, Dagster Labs
Omni and Snowflake help customers...
Deliver true self-service
Anyone can get insight from Snowflake data using SQL, Excel functions, point-and-click, and AI
Eliminate data engineering bottlenecks
When new data lands in Snowflake, users can analyze metrics immediately, without data engineers modeling it first
Consolidate your data stack
Omni brings together a built-in semantic layer, fast data exploration, beautiful visualizations, and governed BI in a single platform atop Snowflake
Scale access to data (not headcount)
Support data-driven decision-making and powerful data products — with minimal administration
Speed up analytics development
Facilitate fast ad-hoc analysis, rapid iteration, and an easy path to standardization – helping your data team keep pace with the business
Build exceptional user-facing analytics
Omni makes it easy to create customized, interactive data products to meet performance SLAs – especially when supported by Snowflake’s concurrency scaling


Omni’s built-in semantic model helps data teams quickly build enterprise data applications. Being able to validate metric definitions allows users to improve the accuracy of models to produce trustworthy results, which is essential for enterprise AI use cases.- Josh Klahr, Head of Data Warehousing at Snowflake & Harsha Kapre, Director at Snowflake Ventures
See what customers build with Snowflake and Omni
ActiveProspect rebuilt customer-facing dashboards in less than two weeks.
Read case study