Microsoft Fabric, Snowflake & Databricks

Should we use Microsoft Fabric, Snowflake, or Databricks?

Choose the platform that fits the tools and skills you already have. Microsoft Fabric suits companies that run Power BI and Microsoft 365, Snowflake suits SQL-first analytics teams that share data across clouds, and Databricks suits heavy data engineering and machine learning in Python. Many companies run more than one.

• Microsoft Fabric: one SaaS platform for lakehouse, warehouse, pipelines, and Power BI, billed by capacity
• Snowflake: a cloud data warehouse with separate storage and compute, on AWS, Azure, or Google Cloud
• Databricks: a lakehouse built on Apache Spark and Delta Lake, well suited to large-scale engineering and machine learning

What does a Microsoft Fabric consultant do?

A Microsoft Fabric consultant designs the lakehouse and warehouse in OneLake, builds the pipelines that load them, models the data for Power BI, and sets up governance and capacity. On one engagement, our Fabric lakehouse cut the time spent preparing data by more than 60%.

Can you work with the platform we already have?

Yes. We build on the platform you already run rather than replacing it, and migrate when there's a clear reason to. Our recent work includes dbt and Dagster pipelines on Snowflake, Power BI on Microsoft Fabric, and job monitoring on Databricks.

What comes after the data platform?

The platform is the foundation for what the business uses every day: governed reporting, pricing and forecasting models, and AI agents that read the same trusted data. We build those layers too, so the data and the tools that depend on it are designed together.