Here’s the difference between Databricks and Firebolt. 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.
Firebolt is the world’s fastest cloud data warehouse, purpose-built for delivering a new grade of analytic experiences over big data. It provides tech companies with a modern data stack, an order of magnitude faster query performance at a fraction of the cost of the alternatives by combining the simplicity, elasticity and low cost of the cloud with the latest innovations in analytics. Engineering teams that adopted Firebolt have been able to deploy data applications and interactive analytics over big data in weeks while delivering sub-second performance at terabyte to petabyte scale.
|Categories||Data Warehouses, Data Lakes||Data Warehouses|
|Stage||Late Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid size, Enterprise|
|Pricing||Freemium, Contact Sales||Contact Sales|
|Location||San Francisco, US||Delaware, US|
|Companies using it|