Here’s the difference between Databricks and Segment. 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.
Cloud-based customer data platform. It provides an API for developers to integrate and collect customer data and send it to multiple tools for analytics, marketing, data warehousing. It also provides multiple data sources to integrate and collect information like google analytics, HEAP, adobe analytics, flurry, mixpanel, etc. It also provides solutions for data governance.
|Categories||Data Warehouses, Data Lakes||Customer Data Platform(CDP), Event Tracking|
|Stage||Late Stage||Late Stage|
|Target Segment||Enterprise, Mid size||Enterprise, Mid size|
|Pricing||Freemium, Contact Sales||Freemium, Contact Sales|
|Location||San Francisco, US||San Francisco, US|
|Companies using it|