Databricks Lakehouse Platform alternatives
Databricks Lakehouse Platform is a high-level architecture for data management. It organizes the data around individual projects, where each project has its own data pipeline. The platform allows the user to call their own SQL, Scala, Python, Java, and R functions at the data layer. Databricks Lakehouse Platform opens the door for many new approaches to data management, such as allowing development teams to bypass ETL and data warehouses. As a unified data layer, Lakehouse combines Hadoop and Spark with modern data management and execution capabilities like SQL, streaming, and machine learning.
It is a new way to write data management programs. It’s an open source and cloud service that lets you write, run and manage all of your data programs in one place without having to rewrite them for every infrastructure. It’s a flexible service that runs on Cloud Platform, Azure, and AWS and supports both batch and real-time streaming data programs using any language or framework. Across multiple clouds, you have consistent management, security, and governance experience.
