Here’s the difference between Databricks and Toplyne. 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.
Toplyne surfaces conversion and expansion pipeline in your revenue stack using behavioral AI built on your first-party data from product analytics, CRM, and billing combined with third-party enrichment data.
Overview | ||
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Categories | Data Warehouses, Data Lakes | PLG CRM |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid-size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Contact Sales, Free trial |
Location | San Francisco, US | San Francisco, California |
Companies using it | ||
Contact info |