What is the difference between Fabric and Databricks?
The question is about Fabric
Fabric and Databricks are both data analytics platforms, but they cater to different aspects of data processing. Built on Apache Spark, Databricks positions itself in the big data processing, data engineering, and machine learning realm, focusing on large-scale data processing in real time. Fabric, on the other hand, is more like a complete analytics environment since, besides data engineering and data science, it does integrate data integration, data warehousing, and business intelligence all within a single platform. Where Databricks really does well is serving very large datasets and working with more complex workflows of machine learning, whereas Fabric provides one-stop for organizations needing a broader range of tools and integrations.
