Here’s the difference between Databricks and Snowplow. 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.
Snowplow is a provider of digital analytics for multiple platforms. It identifies users and tracks the way they engage with websites, applications, or IoT. It stores user's behavioral data in a scalable event data warehouse which can be plugged in with any analysis tool to crunch that data including big data toolsets, traditional BI tools, statistical and graphical tools. It enables to join web analytics and other snowplow event data with third-party data sources such as marketing data sets, customer data sets. The clients of the company include weebly, THE ICONIC, Unsplash, etc.
Overview | ||
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Categories | Data Warehouses, Data Lakes | Event Tracking |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | Open source |
Business Model | Commercial | Open Source |
Pricing | Freemium, Contact Sales | Freemium |
Location | San Francisco, US | London, England |
Companies using it | ||
Contact info |