Webinar on-demand:
Modern data platforms: Choosing the right fit for an AI-ready future
Join us to explore what a modern data platform really is and how different technologies support different organizational needs. We look at Databricks, Microsoft Fabric, and Snowflake, focusing on what each platform is designed for, where it performs well, and where it may be less suitable.
We walk through the key differences between the platforms in terms of:
- architecture, scalability, governance, AI and analytics capabilities, and cost models
The aim it to help clarify how they compare in practice, beyond just marketing material.
Finally, we touch on an important modern principle: being platform agnostic. Modern data platforms are often designed to reduce lock-in by separating core logic from the underlying technology.
We also briefly discuss why a multi-platform setup can be a valid approach, where different platforms are used side by side to support different use cases within the same organization.
