Databricks

The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance and performance of data warehouses with the openness, flexibility and machine learning support of data lakes.

This unified approach simplifies your modern data stack by eliminating the data silos that traditionally separate and complicate data engineering, analytics, BI, data science and machine learning. It’s built on open source and open standards to maximize flexibility. And, its common approach to data management, security and governance helps you operate more efficiently and innovate faster.

With RudderStack moving data into and out of your lakehouse, and Delta Lake serving as your centralized storage and processing layer, what you can do with your customer data is essentially limitless.

• Store everything – store your structured, semi-structured, and unstructured data all in one place
• Scale efficiently – with the inexpensive storage afforded by a cloud data lake and the power of Apache Spark, your ability to scale is essentially infinite
• Meet regulatory needs – data privacy features from RudderStack and fine-grained access controls from Databricks allow you to build your customer data infrastructure with privacy in mind from end-to-end
• Drive deeper insights – Databricks SQL enables analysts and data scientists to reliably perform SQL queries and BI directly on the freshest and most complete data
• Get more predictive - Databricks provides all the tools necessary to do ML/AI on your data to enable new use cases and predict customer behavior
• Activate data with Reverse ETL – with RudderStack Reverse ETL, you can sync data from your lakehouse to your operational tools, so every team can act on insights