Compare - Flywheel VS Databricks

Here’s the difference between Flywheel and Databricks. The comparison is based on pricing, deployment, business model, and other important factors.

About Flywheel

Flywheel Software is the smartest way to target customer segments from the data you already have. Our Democratized Customer Data Platform (anti-CDP) allows anyone in your organization—marketing, sales or analytics—to systematically experiment with targeting customer segments to drive revenue in minutes; no prior SQL experience required. We’re trusted by many of the world's largest and most reputable brands such as Google, NASCAR, The Boston Red Sox, Indeed and Mercari.

About Databricks

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.

Comparison Table

Overview
CategoriesData Warehouses, Customer Data Platform(CDP)Data Warehouses, Data Lakes
StageMid StageLate Stage
Target SegmentMid size, EnterpriseEnterprise, Mid size
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesFreemium, Contact Sales
LocationSan Francisco, CASan Francisco, US
Companies using it
Uber logoJMAN Group logoQuintoAndar logoAXS logoLucid logoGousto logoPluralsight logo
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