Databricks is a unified analytics platform built on Apache Spark, ideal for building and managing AI pipelines. It supports both batch and real-time data processing, making it suitable for handling large-scale ML workflows.

With Databricks, you can:

• Ingest and preprocess data using Spark.
• Perform feature engineering and transformations at scale.
• Train, track, and manage machine learning models using MLflow, which is tightly integrated into the platform.
• Deploy models into production and monitor performance.
  
  

Databricks can also integrate with Snowplow to ingest real-time event data, enabling advanced analytics and real-time AI use cases such as personalization, anomaly detection, and dynamic user segmentation.