Here’s the difference between Databricks and Prefect. 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.
Prefect offers an open-source data flow automation platform. The product offerings include Prefect Core, to run data applications, built on Python and composed of a task library that enables looping, adding parameters, mapping dynamic tasks, and more. Another offering is Prefect Cloud, a command center for user workflows enabled by Cloud UI, state locking, hybrid execution, GraphQL for ETL, and more. The clients of the company include CISCO, SymphonyRM, trademe, etc.
|Categories||Data Warehouses, Data Lakes||Workflow Orchestration|
|Stage||Late Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Enterprise, Mid size|
|Business Model||Commercial||Open Source|
|Pricing||Freemium, Contact Sales||Freemium, Contact Sales|
|Location||San Francisco, US||Washington, US|
|Companies using it|