Here’s the difference between Databricks and Endgame. The comparison is based on pricing, deployment, business model, and other important factors.
Databricks provides a data lakehouse that unifies your data warehousing and AI use cases on a single platform. With Databricks, you can implement a common approach to data governance across all data types and assets, and execute all of your workloads across data engineering, data warehousing, data streaming, data science, and machine learning on a single copy of the data. Built on open source and open standards, with hundreds of active partnerships, Databricks easily integrates with your modern data stack. Additionally, Databricks uses an open standards approach to data sharing to eliminate ecosystem restrictions. Finally, Databricks provides a consistent data platform across clouds to reduce the friction of multicloud environments. Today, Databricks has over 7000 customers, including Amgen, Walmart, Disney, HSBC, Shell, Grab, and Instacart.
Provider of the customer observability platform to enterprises. The platform enables members to analyze real time data signals from different data sources such as product adoption, user behavior, transactional data, etc, and take immediate action on it. It allows members to understand the behavior of users, identify opportunities, and improve the performance of the reps by showing them the prospects and opportunities with the strongest signals.