Here’s the difference between Yellowbrick and Databricks. The comparison is based on pricing, deployment, business model, and other important factors.
Provider of MPP analytics and data warehouse solution for hybrid cloud. It provides a solution to solve the challenges of high availability, running complex mixed workloads, support for ad-hoc SQL, computing correct answers on any schema, massive scalability, and supporting large numbers of concurrent users. It allows companies to make faster decisions with all of their data. The clients include Overstock, Teoco, Symphony retail, and Clarity Innovations.
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.
Overview | ||
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Categories | Data Warehouses | Data Warehouses, Data Lakes |
Stage | Mid Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Freemium, Contact Sales |
Location | California, US | San Francisco, US |
Companies using it | ||
Contact info |