Azure Databricks vs Databricks: What are the differences?
What is Azure Databricks? Fast, easy, and collaborative Apache Spark–based analytics service. Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
What is Databricks? A unified analytics platform, powered by Apache Spark. Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
Azure Databricks and Databricks can be categorized as "General Analytics" tools.
Some of the features offered by Azure Databricks are:
- Optimized Apache Spark environment
- Autoscale and auto terminate
- Collaborative workspace
On the other hand, Databricks provides the following key features:
- Built on Apache Spark and optimized for performance
- Reliable and Performant Data Lakes
- Interactive Data Science and Collaboration