Here’s the difference between Startree and Databricks. The comparison is based on pricing, deployment, business model, and other important factors.
Provider of the decision support software solution. It provides a real-time analytics platform for businesses and users to get insights for decision-making. It also provides user-facing analytics, data aggregation, data insights, operational analytics, user engagement and product analytics for product distinguishing to generate revenue streams.
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, Business Intelligence (BI) | Data Warehouses, Data Lakes |
Stage | Early Stage | Late Stage |
Target Segment | 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 |